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Examples of how to use or integrate DeepSpeech
How to run Speech to text in android without using LM and trie file?
I am still facing issues with this problem after trying the solution listed in this chain: mozilla/DeepSpeech#2575
Any other solutions?
os: ubuntu16.04
nvidia gpu: geforce GTX 1060
nodejs version: v6.17.1
npm version: 3.10.10
I run the following command:
node ./index.js --audio ../audio/2830-3980-0043.wav --model ../model/output_graph.pbmm
then got the following error:
/home/server/work/DeepSpeech/DeepSpeech-examples-r0.6/ffmpeg_vad_streaming/node_modules/util-promisifyall/index.js:23
object[`${key}Async`] = promisify(func)
^
TypeError: promisify is not a function
at _promisifyAllFunctions (/home/server/work/DeepSpeech/DeepSpeech-examples-r0.6/ffmpeg_vad_streaming/node_modules/util-promisifyall/index.js:23:33)
at module.exports (/home/server/work/DeepSpeech/DeepSpeech-examples-r0.6/ffmpeg_vad_streaming/node_modules/util-promisifyall/index.js:30:3)
at Object.<anonymous> (/home/server/work/DeepSpeech/DeepSpeech-examples-r0.6/ffmpeg_vad_streaming/node_modules/node-vad/lib/vad.js:4:17)
at Module._compile (module.js:577:32)
at Object.Module._extensions..js (module.js:586:10)
at Module.load (module.js:494:32)
at tryModuleLoad (module.js:453:12)
at Function.Module._load (module.js:445:3)
at Module.require (module.js:504:17)
at require (internal/module.js:20:19)
i think this is related with node version.
do you have any good solution?
The taskcluster directory is now at DeepSpeech
and not DeepSpeech/ds
as is currently mentioned in the tests.sh
file (r0.7 branch, line 7)
Hi I am new to python and and your DeepSpeech, forgive if my errors are silly. Trying to create a over the web speech recognition project for dictation at work ( hospital). So very excited to get this example working.
Running on my ubuntu server. I get the servers running, when I run the page I see the start and stop, and My chrome has javascript enabled. But when I try to click on the start button nothing happens
<meta | |
name="description" | |
content="Web site created using create-react-app" | |
/> | |
<!-- | |
manifest.json provides metadata used when your web app is installed on a | |
user's mobile device or desktop. See https://developers.google.com/web/fundamentals/web-app-manifest/ | |
--> | |
<!-- | |
Notice the use of in the tags above. | |
It will be replaced with the URL of the public folder during the build. |
|
Only files inside the public folder can be referenced from the HTML. |
|
Unlike "/favicon.ico" or "favicon.ico", "/favicon.ico" will | |
work correctly both with client-side routing and a non-root public URL. | |
Learn how to configure a non-root public URL by running npm run build . |
|
--> | |
<title>DeepSpeech - Web Microphone Websocket Example</title> | |
You need to enable JavaScript to run this app. | |
<!-- | |
This HTML file is a template. | |
If you open it directly in the browser, you will see an empty page. | |
You can add webfonts, meta tags, or analytics to this file. | |
The build step will place the bundled scripts into the tag. | |
To begin the development, run npm start or yarn start . |
|
To create a production bundle, use npm run build or yarn build . |
|
--> | |
<script src="/static/js/bundle.js"></script><script src="/static/js/0.chunk.js"></script><script src="/static/js/main.chunk.js"></script> | |
==
When I tried running the test.sh on my ubuntu server I got this error ( I wonder if the two are related)
~/DeepSpeech/ds/examples/web_microphone_websocket$ ./test.sh
++ dirname ./test.sh
You should add a new dependency requirement to run the nodejs_mic_vad_streaming
project. In a clean installation of Ubuntu 16.04 LTE x64 when you run the command
npm install
this error appears:
Entering directory '/home/dev/Documents/speech/DeepSpeech-examples/nodejs_mic_vad_streaming/node_modules/speaker/build'
CC(target) Release/obj.target/output/deps/mpg123/src/output/alsa.o
../deps/mpg123/src/output/alsa.c:19:28: fatal error: alsa/asoundlib.h: No such file or directory
This means that you need to install the libasound2-dev lib executing:
$ sudo apt-get install libasound2-dev
Even though, I have all the dependencies mentioned in requirements, mic_vad_streaming.py didn't executed properly. Not sure why this happened, I am a beginner please help. Thanks.
I used this command:-
python mic_vad_streaming.py -m deepspeech-0.7.3-models.pbmm -s deepspeech-0.7.3-models.scorer
Got this output on command line without any errors:-
Initializing model...
INFO:root:ARGS.model: deepspeech-0.7.3-models.pbmm
TensorFlow: v1.15.0-24-gceb46aae58
DeepSpeech: v0.7.3-0-g88584941
2020-06-14 15:59:26.545446: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2
INFO:root:ARGS.scorer: deepspeech-0.7.3-models.scorer
(newdsvenv) C:\Users\awenits\Desktop\newdsvenv\mic_vad_streaming>
If anyone else bumps into it, here is a fix that worked for me:
https://stackoverflow.com/questions/60234640/typeerror-err-invalid-arg-type-the-path-argument-must-be-of-type-string-re
It might be worth pushing that change to this repo as well.
You can visit this repo, for an example of how to use DeepSpeech with Vaadin (web-based).
Hi.
After I run node start.js , nothing happened.
Do i need to specify to specific port first?
If so, can I use socketio protocol, to send the transcribed text over to client?
function Model.createStream() returns object with undefined functions, i.e. Stream.feedAudioContent and Stream.finishStream can not be called on the returned stream object.
If it would save any of your time - console.log(Model.createStream()) returns "SwigProxy {}"
usage: example_DS.py [-h] [-v VAD_AGGRESSIVENESS] [--nospinner] [-w SAVEWAV]
[-f FILE] -m MODEL [-l LM] [-t TRIE] [-d DEVICE]
[-r RATE] [-la LM_ALPHA] [-lb LM_BETA] [-bw BEAM_WIDTH]
example_DS.py: error: the following arguments are required: -m/--model
Process finished with exit code 2
Currently, the Python server example isn't integrated into CI. We should look into that, to ensure that it is built + tested on every change.
I downloaded android_mic_streaming example from here: STT-examples.
Make the project and start on Android device (Android 10, Samsung A30), put files as mentioned in README.
From the app UI click on the START RECORDING, observe recording and text recognition. When I click on STOP RECORDING the app crashes with 100% reproducibility. The exception occurs on the native lib layer:
13747-13898/org.deepspeechdemo A/libc: Fatal signal 11 (SIGSEGV), code 1 (SEGV_MAPERR), fault addr 0x1c in tid 13898 (AudioRecorder T), pid 13747 (.deepspeechdemo)
Hi,
I'm running the deepspeech nodejs module on Ubuntu 18.04. Ubuntu is setup as a WSL2 virtual machine under Windows 10.
I was trying to get the nodejs_wav example to run but I keep running into the following error:
`TensorFlow: v2.2.0-24-g1c1b2b9
DeepSpeech: v0.8.2-0-g02e4c76
2020-11-03 19:20:08.587514: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
internal/streams/legacy.js:61
throw er; // Unhandled stream error in pipe.
^
Error: spawn sox ENOENT
at Process.ChildProcess._handle.onexit (internal/child_process.js:269:19)
at onErrorNT (internal/child_process.js:465:16)
at processTicksAndRejections (internal/process/task_queues.js:80:21) {
errno: -2,
code: 'ENOENT',
syscall: 'spawn sox',
path: 'sox',
spawnargs: [
'--no-dither',
'/tmp/4fe092db-b3a6-48bb-b00c-04452e396cc2',
'--bits',
16,
'--rate',
16000,
'--channels',
1,
'--encoding',
'signed-integer',
'--endian',
'little',
'--compression',
0,
'--type',
'raw',
'-'
]
}`
I've looked around a bunch, but couldn't find a solution that works for me. I've manually added the sox folder to the $PATH variable, installed sox via brew and via npm, reinstalled nodejs several times at different versions, nothing works..
Any help is appreciated!
Thanks in advance :)
Running adb push deepspeech-0.8.0-models.tflite deepspeech-0.8.0-models.scorer /storage/emulated/0/Android/data/org.deepspeechdemo/files/
Gives a permission denied error with the latest sdk Android Studio Pixel emulator. How did you work around this?
How to make is continuously decode speech to text unless stop button is pressed? It just converts unless there is a pause. after the pause it does not work
I've downloaded deepspeech-0.9.2-models.pbmm and deepspeech-0.9.2-models.scorer
IF I call deepspeech.model(deepspeech-0.9.2-models.pbmm) i got error:
ERROR: Model provided has model identifier 'u/3▒', should be 'TFL3'
How I've to use it right the deepspeech-0.9.2-models.pbmm and deepspeech-0.9.2-models.scorer?
Hi;
I downloaded the examples to try, remove the ClientDeepSpeech project and installed the NuGet. Also, downloaded the .pbmm file. When I try to run, I get unable to load DLL 'libdeepspeech.so', the specified module could not be found(exception from HRESULT: 0x8007007E).
It seems I'm missing something.
Thank you,
Hanna
Hi, I'm having an error when trying to run yarn start.
The server works well and running when I run node server.js.
This is the log for yarn start :
yarn run v1.22.4
error An unexpected error occurred: "/home/asyraf/Desktop/jstutorial/package.json: Unexpected token < in JSON at position 0".
info If you think this is a bug, please open a bug report with the information provided in "/home/asyraf/Desktop/jstutorial/DeepspeechReactJS/yarn-error.log".
info Visit https://yarnpkg.com/en/docs/cli/run for documentation about this command.
Why do you think this happened? I tried uninstall and reinstalling yarn and didn't work.
Thanks,
Asyraf.
Currently, the README file for Microphone VAD Streaming
does not mention what version of Python is needed to run it. Would be good to include it.
A file named test.sh
also exists in that repo but includes no instructions on its use. Would be great to have those included.
Hello . When I downloaded deepspeech and run it on Windows, it unfortunately turned bad speech into text.
For example, when I say:
HI ----> i
you are ->you are
hello -> halow
How can I increase the accuracy or efficiency of speech to text conversion?
I just want to use only the Deep Speech model and I do not want to teach on any datasets? Is there a way or not?
When I say a word through a microphone, do I already have to make certain settings in the Windows environment?...
I'm fairly new to Python and I'm assuming it's an easy fix, but I'm getting the following error on the "Microphone VAD streaming" example:
Initializing model... INFO:root:ARGS.model: deepspeech-0.6.0-models/output_graph.pb Traceback (most recent call last): File "deepspeech.py", line 237, in <module> main(ARGS) File "deepspeech.py", line 164, in main model = deepspeech.Model(ARGS.model, ARGS.beam_width) AttributeError: module 'deepspeech' has no attribute 'Model'
I'm running the command "python3 deepspeech.py -m deepspeech-0.6.0-models/". The models are in the directory that I passed and I haven't changed the code from the example given.
I'd appreciate some help if someone could ;)
Executing tasks: [:app:assembleDebug] in project C:\Users\dhruv_dzb8kxe\Desktop\andrr\DeepSpeech-examples\android_mic_streaming
Task :app:preBuild UP-TO-DATE
Task :app:preDebugBuild UP-TO-DATE
Task :app:checkDebugManifest UP-TO-DATE
Task :app:generateDebugBuildConfig UP-TO-DATE
Task :app:compileDebugAidl NO-SOURCE
Task :app:compileDebugRenderscript NO-SOURCE
Task :app:mainApkListPersistenceDebug UP-TO-DATE
Task :app:generateDebugResValues UP-TO-DATE
Task :app:generateDebugResources UP-TO-DATE
Task :app:mergeDebugResources UP-TO-DATE
Task :app:createDebugCompatibleScreenManifests UP-TO-DATE
Task :app:processDebugManifest
Task :app:processDebugResources
Task :app:compileDebugKotlin FAILED
e: C:\Users\dhruv_dzb8kxe\Desktop\andrr\DeepSpeech-examples\android_mic_streaming\app\src\main\java\org\deepspeechdemo\MainActivity.kt: (145, 13): Unresolved reference: isRecording
e: C:\Users\dhruv_dzb8kxe\Desktop\andrr\DeepSpeech-examples\android_mic_streaming\app\src\main\java\org\deepspeechdemo\MainActivity.kt: (148, 13): Unresolved reference: startListening
e: C:\Users\dhruv_dzb8kxe\Desktop\andrr\DeepSpeech-examples\android_mic_streaming\app\src\main\java\org\deepspeechdemo\MainActivity.kt: (152, 5): Modifier 'override' is not applicable to 'local function'
e: C:\Users\dhruv_dzb8kxe\Desktop\andrr\DeepSpeech-examples\android_mic_streaming\app\src\main\java\org\deepspeechdemo\MainActivity.kt: (153, 9): No supertypes are accessible in this context
e: C:\Users\dhruv_dzb8kxe\Desktop\andrr\DeepSpeech-examples\android_mic_streaming\app\src\main\java\org\deepspeechdemo\MainActivity.kt: (154, 13): Unresolved reference: model
e: C:\Users\dhruv_dzb8kxe\Desktop\andrr\DeepSpeech-examples\android_mic_streaming\app\src\main\java\org\deepspeechdemo\MainActivity.kt: (155, 13): Unresolved reference: model
FAILURE: Build failed with an exception.
Compilation error. See log for more details
Try:
Run with --stacktrace option to get the stack trace. Run with --info or --debug option to get more log output. Run with --scan to get full insights.
Get more help at https://help.gradle.org
BUILD FAILED in 6s
9 actionable tasks: 3 executed, 6 up-to-date
Hi,
I am looking to play around with this project and wanted to start with the examples.
Out of the box cloning this repository does not allow you to build. It appears to have assumptions that the C# Project is also checked out to a relative location.
PackageReference
as opposed to package.json
as I find this a much cleaner implementation.I have my changes committed into my repository (https://github.com/aolszowka/DeepSpeech-examples/tree/Upgrade-To-NET48-DeepSpeech093-master) that I would be happy to merge back in, its unclear what branch I should be merging into (I started with 0.9 as that is the default branch, but then got scared and moved my changes over to master because it looked like it had a more current commit?).
When attempting to run the .tflite and default scorer with .9.3,
the model file cannot be read as "binary proto"
Steps to Reproduce
deepspeech~=0.9.3
pyaudio~=0.2.11
webrtcvad~=2.0.10
halo~=0.0.18
numpy>=1.15.1
scipy>=1.1.0
Results:
$ python mic_vad_streaming.py -m deepspeech-0.9.3-models.tflite -s deepspeech-0.9.3-models.scorer
Initializing model...
INFO:root:ARGS.model: deepspeech-0.9.3-models.tflite
TensorFlow: v2.3.0-6-g23ad988
DeepSpeech: v0.9.3-0-gf2e9c85
Warning: reading entire model file into memory. Transform model file into an mmapped graph to reduce heap usage.
Data loss: Can't parse deepspeech-0.9.3-models.tflite as binary proto
Traceback (most recent call last):
File "mic_vad_streaming.py", line 226, in
main(ARGS)
File "mic_vad_streaming.py", line 164, in main
model = deepspeech.Model(ARGS.model)
File "/home/path/venv/lib64/python3.8/site-packages/deepspeech/init.py", line 38, in init
raise RuntimeError("CreateModel failed with '{}' (0x{:X})".format(deepspeech.impl.ErrorCodeToErrorMessage(status),status))
RuntimeError: CreateModel failed with 'Error reading the proto buffer model file.' (0x3005)
In example "web_microphone_websocket" when i hit stop recording it gives me following error
"modelStream.finishStream is not a function"
I guess it's also a DeepSpeech related bug like in #33. Could it be?
Android mic example is just for streaming, how can we input wav file and get the decoded result?
The android-mic-streaming demo works off-the-shelf using ./gradlew installDebug, but when the play button in Android Studio is used to compile and install the exact same project it crashes with the following after tapping record:
2020-08-19 00:44:24.862 12872-12872/org.deepspeechdemo E/AndroidRuntime: FATAL EXCEPTION: main
Process: org.deepspeechdemo, PID: 12872
java.lang.IllegalStateException: Could not execute method for android:onClick
at androidx.appcompat.app.AppCompatViewInflater$DeclaredOnClickListener.onClick(AppCompatViewInflater.java:390)
at android.view.View.performClick(View.java:7448)
at android.view.View.performClickInternal(View.java:7425)
at android.view.View.access$3600(View.java:810)
at android.view.View$PerformClick.run(View.java:28296)
at android.os.Handler.handleCallback(Handler.java:938)
at android.os.Handler.dispatchMessage(Handler.java:99)
at android.os.Looper.loop(Looper.java:223)
at android.app.ActivityThread.main(ActivityThread.java:7656)
at java.lang.reflect.Method.invoke(Native Method)
at com.android.internal.os.RuntimeInit$MethodAndArgsCaller.run(RuntimeInit.java:592)
at com.android.internal.os.ZygoteInit.main(ZygoteInit.java:947)
Caused by: java.lang.reflect.InvocationTargetException
at java.lang.reflect.Method.invoke(Native Method)
at androidx.appcompat.app.AppCompatViewInflater$DeclaredOnClickListener.onClick(AppCompatViewInflater.java:385)
at android.view.View.performClick(View.java:7448)
at android.view.View.performClickInternal(View.java:7425)
at android.view.View.access$3600(View.java:810)
at android.view.View$PerformClick.run(View.java:28296)
at android.os.Handler.handleCallback(Handler.java:938)
at android.os.Handler.dispatchMessage(Handler.java:99)
at android.os.Looper.loop(Looper.java:223)
at android.app.ActivityThread.main(ActivityThread.java:7656)
at java.lang.reflect.Method.invoke(Native Method)
at com.android.internal.os.RuntimeInit$MethodAndArgsCaller.run(RuntimeInit.java:592)
at com.android.internal.os.ZygoteInit.main(ZygoteInit.java:947)
Caused by: java.lang.UnsatisfiedLinkError: dlopen failed: library "libdeepspeech-jni.so" not found
at java.lang.Runtime.loadLibrary0(Runtime.java:1087)
at java.lang.Runtime.loadLibrary0(Runtime.java:1008)
at java.lang.System.loadLibrary(System.java:1664)
at org.mozilla.deepspeech.libdeepspeech.DeepSpeechModel.<clinit>(DeepSpeechModel.java:9)
at org.deepspeechdemo.MainActivity.createModel(MainActivity.kt:90)
at org.deepspeechdemo.MainActivity.onRecordClick(MainActivity.kt:120)
at java.lang.reflect.Method.invoke(Native Method)
at androidx.appcompat.app.AppCompatViewInflater$DeclaredOnClickListener.onClick(AppCompatViewInflater.java:385)
at android.view.View.performClick(View.java:7448)
at android.view.View.performClickInternal(View.java:7425)
at android.view.View.access$3600(View.java:810)
at android.view.View$PerformClick.run(View.java:28296)
at android.os.Handler.handleCallback(Handler.java:938)
at android.os.Handler.dispatchMessage(Handler.java:99)
at android.os.Looper.loop(Looper.java:223)
at android.app.ActivityThread.main(ActivityThread.java:7656)
at java.lang.reflect.Method.invoke(Native Method)
at com.android.internal.os.RuntimeInit$MethodAndArgsCaller.run(RuntimeInit.java:592)
at com.android.internal.os.ZygoteInit.main(ZygoteInit.java:947)
The issue seems to be related to libdeepspeech-jni.so not being included when Android Studio is used. I am completely new to Android development (I'm building a Mozilla-STT React Native module and only supporting iOS is useless) so this is especially confusing.
Thanks!
I am trying to run the .Net example DeepSpeech.WPF. Right now, it depends on the DeepSpeechClient project, but I removed that because I need to get this working from the NuGet. (I am not requiring everyone to build the client when there should be a working NuGet)
Replacing the project with the NuGet gets the code to compile, but then I get a runtime error:
Cannot find the model file: output_graph.pbmm
How do I get this model file (and any others I may need) without building the client myself? Should the model files be included with the NuGet? Are there instructions for getting all the additional files one may need to get the NuGet to work?
Hi There,
I get this error message when trying to use the nodejs_wav.
I have checked the contents of this folder and I can see:
But there is no "node-v57" as mentioned in this error message.
The node version I am running on my linux machine is v8.10.0
What should I do to resolve this issue? Downgrade my node version to v79? or v57?
Cheers
Paul
Hi, I am trying to run the audioTranscript_cmd.py
example against a wav
file and keep getting this error. Interestingly I am able to run the same file from Deepspeech
command-line and get some results, albeit mostly noise. Any ideas on what's causing this?
python3 audioTranscript_cmd.py --aggressive 1 --audio ../audio-files/5192.wav --model ./models/
DEBUG:root:Transcribing audio file @ ../audio-files/5192.wav
DEBUG:root:Found Model: ./models/output_graph.pb
DEBUG:root:Found Language Model: ./models//lm.binary
DEBUG:root:Found Trie: ./models//trie
TensorFlow: v1.14.0-21-ge77504a
DeepSpeech: v0.6.1-0-g3df20fe
Warning: reading entire model file into memory. Transform model file into an mmapped graph to reduce heap usage.
2020-04-04 08:53:03.198130: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
DEBUG:root:Loaded model in 0.100s.
DEBUG:root:Loaded language model in 0.000s.
DEBUG:root:Loaded model sample rate: 16000Hz.
Filename Duration(s) Inference Time(s) Model Load Time(s) LM Load Time(s)
DEBUG:root:Caught the wav file @: ../audio-files/5192.wav
Traceback (most recent call last):
File "audioTranscript_cmd.py", line 97, in <module>
main(sys.argv[1:])
File "audioTranscript_cmd.py", line 51, in main
model_sample_rate=model_retval[3])
File "/home/me/DeepSpeech-examples/vad_transcriber/wavTranscriber.py", line 93, in vad_segment_generator
audio, sample_rate, audio_length = wavSplit.read_wave(wavFile)
File "/home/me/DeepSpeech-examples/vad_transcriber/wavSplit.py", line 13, in read_wave
assert num_channels == 1
AssertionError
Running the electron example as described in it's readme (the only deviation from the instructions was to run npm audit fix
to update packages with security risks, as advised by npm), I get an electron dialog
A JavaScript error occurred in the main process
Uncaught Exception:
TypeError: Cannot read property 'filter' of undefined
at /Users/me/path/to/DeepSpeech-examples/electron/public/create-window.js:72:20
at FSReqCallback.oncomplete (fs.js:146:23)
the output on the comandline itself is
Debugger listening on ws://127.0.0.1:5858/6859e332-415b-4033-a926-57b854cd4237
[1] For help, see: https://nodejs.org/en/docs/inspector
[1] TensorFlow: v2.2.0-17-g0854bb5188
[1] DeepSpeech: v0.8.0-0-gf56b07da
[1] 2020-08-08 19:01:19.581495: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
[1] model loaded
[0]
[0] Could not open App.js in the editor.
[0]
[0] To set up the editor integration, add something like REACT_EDITOR=atom to the .env.local file in your project folder and restart the development server. Learn more: https://goo.gl/MMTaZt
Additionally, if I attempt to connect to localhost:3000 as the program suggests, I get a different error page, saying
TypeError: undefined is not an object (evaluating 'window.ipcRenderer.invoke')
componentDidMount
src/App.js:16
13 |
14 | componentDidMount() {
15 | // when the component mounts, get the list of .wav files
> 16 | window.ipcRenderer.invoke('load-files')
| ^ 17 | .then(files => {
18 | console.log('files', files);
19 | this.setState({
▼ 15 stack frames were expanded.
commitLifeCycles
node_modules/react-dom/cjs/react-dom.development.js:19814
commitLayoutEffects
node_modules/react-dom/cjs/react-dom.development.js:22803
callCallback
node_modules/react-dom/cjs/react-dom.development.js:188
invokeGuardedCallbackDev
node_modules/react-dom/cjs/react-dom.development.js:237
invokeGuardedCallback
node_modules/react-dom/cjs/react-dom.development.js:292
commitRootImpl
node_modules/react-dom/cjs/react-dom.development.js:22541
unstable_runWithPriority
node_modules/scheduler/cjs/scheduler.development.js:653
commitRoot
node_modules/react-dom/cjs/react-dom.development.js:22381
finishSyncRender
node_modules/react-dom/cjs/react-dom.development.js:21807
performSyncWorkOnRoot
node_modules/react-dom/cjs/react-dom.development.js:21793
scheduleUpdateOnFiber
node_modules/react-dom/cjs/react-dom.development.js:21188
updateContainer
node_modules/react-dom/cjs/react-dom.development.js:24373
(anonymous function)
node_modules/react-dom/cjs/react-dom.development.js:24758
unbatchedUpdates
node_modules/react-dom/cjs/react-dom.development.js:21903
legacyRenderSubtreeIntoContainer
node_modules/react-dom/cjs/react-dom.development.js:24757
./src/index.js
src/index.js:5
2 | import ReactDOM from 'react-dom';
3 | import App from './App';
4 |
> 5 | ReactDOM.render(<App/>, document.getElementById('root'));
__webpack_require__
/Users/me/path/to/DeepSpeech-examples/electron/webpack/bootstrap:784
781 | };
782 |
783 | // Execute the module function
> 784 | modules[moduleId].call(module.exports, module, module.exports, hotCreateRequire(moduleId));
| ^ 785 |
786 | // Flag the module as loaded
787 | module.l = true;
fn
/Users/me/path/to/DeepSpeech-examples/electron/webpack/bootstrap:150
147 | );
148 | hotCurrentParents = [];
149 | }
> 150 | return __webpack_require__(request);
| ^ 151 | };
152 | var ObjectFactory = function ObjectFactory(name) {
153 | return {
View compiled
(anonymous function)
http://localhost:3000/static/js/main.chunk.js:134:37
__webpack_require__
/Users/me/path/to/DeepSpeech-examples/electron/webpack/bootstrap:784
781 | };
782 |
783 | // Execute the module function
> 784 | modules[moduleId].call(module.exports, module, module.exports, hotCreateRequire(moduleId));
| ^ 785 |
786 | // Flag the module as loaded
787 | module.l = true;
View compiled
checkDeferredModules
/Users//me/path/to/DeepSpeech-examples/electron/webpack/bootstrap:45
42 | }
43 | if(fulfilled) {
44 | deferredModules.splice(i--, 1);
> 45 | result = __webpack_require__(__webpack_require__.s = deferredModule[0]);
| ^ 46 | }
47 | }
48 |
View compiled
webpackJsonpCallback
/Users/me/path/to/DeepSpeech-examples/electron/webpack/bootstrap:32
29 | deferredModules.push.apply(deferredModules, executeModules || []);
30 |
31 | // run deferred modules when all chunks ready
> 32 | return checkDeferredModules();
| ^ 33 | };
34 | function checkDeferredModules() {
35 | var result;
View compiled
global code
http://localhost:3000/static/js/main.chunk.js:1:95
How can I fix this?
I need to downgrade version of deepspeech in WPF example. But i can't to find repo with description of required params of DeepSpeechClient.CreateModel(string aModelPath, uint aNCep, uint aNContext, string aAlphabetConfigPath, uint aBeamWidth) regards 0.5.1 and below.
What exactly these params - uint aNCep, uint aNContext about and where i can find them if i use third-party LM?
As far as I have understood, file input is supposed to be a pre-recorded wav file, for example, the ones given in audio-0.7.1.tar.gz here. The mic_vad_streaming.py
will take that wav file, and the model and scorer, and output transcription for that audio. However, in my case, no transcription happens and the script exits with zero exit code!
$ python mic_vad_streaming.py -v 2 -m ~/DeepSpeech/models/models.pbmm -s ~/DeepSpeech/models/models.scorer -f ~/DeepSpeech/audio/2830-3980-0043.wav
Initializing model...
INFO:root:ARGS.model: /home/gt/otherrepos/DeepSpeech/models/models.pbmm
TensorFlow: v1.15.0-24-gceb46aa
DeepSpeech: v0.7.1-0-g2e9c281
2020-05-27 16:53:44.182279: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
INFO:root:ARGS.scorer: /home/gt/otherrepos/DeepSpeech/models/models.scorer
ALSA lib pcm.c:2495:(snd_pcm_open_noupdate) Unknown PCM cards.pcm.rear
ALSA lib pcm.c:2495:(snd_pcm_open_noupdate) Unknown PCM cards.pcm.center_lfe
ALSA lib pcm.c:2495:(snd_pcm_open_noupdate) Unknown PCM cards.pcm.side
ALSA lib pcm_route.c:867:(find_matching_chmap) Found no matching channel map
ALSA lib pcm_route.c:867:(find_matching_chmap) Found no matching channel map
ALSA lib pcm_route.c:867:(find_matching_chmap) Found no matching channel map
ALSA lib pcm_route.c:867:(find_matching_chmap) Found no matching channel map
Listening (ctrl-C to exit)...
This is the complete log. The models are latest v0.7.0 files, and audio file is one of the samples from the release page. What might be going wrong?
PS: I am able to get transcription from my microphone when running without the -f
argument.
I'm able to get text output on my local machine from mic_vad_streaming.py
by providing .wav
file in --file
argument. But while running this code on AWS ec2 instance and also Colab Notebook I'm getting this following error:
Traceback (most recent call last):
File "mic_vad_streaming.py", line 237, in <module>
main(ARGS)
File "mic_vad_streaming.py", line 174, in main
file=ARGS.file)
File "mic_vad_streaming.py", line 107, in __init__
super().__init__(device=device, input_rate=input_rate, file=file)
File "mic_vad_streaming.py", line 56, in __init__
self.stream = self.pa.open(**kwargs)
File "/usr/local/lib/python3.6/dist-packages/pyaudio.py", line 750, in open
stream = Stream(self, *args, **kwargs)
File "/usr/local/lib/python3.6/dist-packages/pyaudio.py", line 441, in __init__
self._stream = pa.open(**arguments)
OSError: [Errno -9996] Invalid input device (no default output device)
I'm aware that ec2 instance doesn't have microphone or speaker, but I need to test this model's real-time performance on a GPU machine. Is there any way I can use this code to test on ec2 instance.
Hi,
I have trained my custom model DeepSpeech 0.6.1 on my own data from scratch.
I have getting good accuracy while inference using deepspeech binary (testing wer: 0.18).
When i try r0.6 node js socket api and also mic vad streaming using my own data and lm, I am getting very bad transcript.
It does not capture any word, it just give me an output of same garbage word for each and every spoken word.
My predicted transcripts:
haan
haan haan
haan haan haan ...
I saved recorded audio and listen it was of very good quality and when i infer trans from deepspeech binary using the command:
deepspeech --model model_path --lm lm_path --trie trie_path --audio audio_path
It gives me very good transcripts.
So I am not able to understand why this happens with r0.6.
when I test with 0.5.1 model example of mic vad streaming, then I am getting good accuracy.
Can anyone help me to resolve this.
Why I am getting bad transcript on r0.6 node js socket api as well as mic vad streaming.
Thanks
I checked microphone streaming with the English language with pre-trained weight, it is working. please, could you explain how can I use this for another language? If I train network with other languages and use PB converted weight file for microphone streaming inferencing, can it work for me?
Ubuntu 19.04
Python 3.7.3
I just clone this project, then when I run
cd mic_vad_streaming
./test.sh
I get an error:
++ dirname ./test.sh
+ THIS=.
+ pushd .
~/DeepSpeech/DeepSpeech-examples/mic_vad_streaming ~/DeepSpeech/DeepSpeech-examples/mic_vad_streaming
+ source ../tests.sh
++ set -xe
+++ dirname ./test.sh
++ THIS=.
++ source ../../taskcluster/tc-tests-utils.sh
+++ set -xe
++++ uname
+++ export OS=Linux
+++ OS=Linux
+++ '[' Linux = Linux ']'
+++ export DS_ROOT_TASK=/home/tensorflow
+++ DS_ROOT_TASK=/home/tensorflow
+++ '[' Linux = '' ']'
+++ '[' Linux = Darwin ']'
+++ export TASKCLUSTER_ARTIFACTS=/tmp/artifacts
+++ TASKCLUSTER_ARTIFACTS=/tmp/artifacts
+++ export TASKCLUSTER_TMP_DIR=/tmp
+++ TASKCLUSTER_TMP_DIR=/tmp
+++ export ANDROID_TMP_DIR=/data/local/tmp
+++ ANDROID_TMP_DIR=/data/local/tmp
+++ mkdir -p /tmp
+++ export DS_TFDIR=/home/tensorflow/DeepSpeech/tf
+++ DS_TFDIR=/home/tensorflow/DeepSpeech/tf
+++ export DS_DSDIR=/home/tensorflow/DeepSpeech/ds
+++ DS_DSDIR=/home/tensorflow/DeepSpeech/ds
+++ export DS_EXAMPLEDIR=/home/tensorflow/DeepSpeech/examples
+++ DS_EXAMPLEDIR=/home/tensorflow/DeepSpeech/examples
++++ cat /home/tensorflow/DeepSpeech/ds/VERSION
cat: /home/tensorflow/DeepSpeech/ds/VERSION: 没有那个文件或目录
+++ export DS_VERSION=
+++ DS_VERSION=
+++ export ANDROID_SDK_HOME=/home/tensorflow/DeepSpeech/Android/SDK/
+++ ANDROID_SDK_HOME=/home/tensorflow/DeepSpeech/Android/SDK/
+++ export ANDROID_NDK_HOME=/home/tensorflow/DeepSpeech/Android/android-ndk-r18b/
+++ ANDROID_NDK_HOME=/home/tensorflow/DeepSpeech/Android/android-ndk-r18b/
+++ WGET=wget
+++ TAR=tar
+++ XZ='pixz -9'
+++ UNXZ='pixz -d'
+++ '[' Linux = '' ']'
+++ model_source=
++++ basename ''
+++ model_name=
++++ basename -s .pb ''
+++ model_name_mmap=.pbmm
++++ dirname ''
+++ model_source_mmap=./.pbmm
+++ SUPPORTED_PYTHON_VERSIONS='2.7.16:ucs2 2.7.16:ucs4 3.5.7:ucs4 3.6.8:ucs4 3.7.3:ucs4 3.8.0:ucs4'
+++ SUPPORTED_NODEJS_VERSIONS='4.9.1 5.12.0 6.17.1 7.10.1 8.16.0 9.11.2 10.16.0 11.15.0 12.5.0 13.0.1'
+++ SUPPORTED_ELECTRONJS_VERSIONS='1.6.18 1.7.16 1.8.8 2.0.18 3.0.16 3.1.11 4.0.3 4.1.5 4.2.5 5.0.6 6.0.11 7.0.1 7.1.2'
+++ python -c 'import json; import sys; print(" ".join(json.loads(sys.stdin.read())["dependencies"]));'
+++ curl -s https://community-tc.services.mozilla.com/api/queue/v1/task/
Traceback (most recent call last):
File "<string>", line 1, in <module>
KeyError: 'dependencies'
++ DEP_TASK_ID=
If I run
python3 mic_vad_streaming.py
--model deepspeech-0.6.0-models/output_graph.pbmm
--lm deepspeech-0.6.0-models/lm.binary
--trie deepspeech-0.6.0-models/trie
I can get text from microphone.
But if I run
python3 mic_vad_streaming.py
--model deepspeech-0.6.0-models/output_graph.pbmm
--lm deepspeech-0.6.0-models/lm.binary
--trie deepspeech-0.6.0-models/trie
--file audio/2830-3980-0043.wav
I didn't get any text.
Event run in Ubuntu 19.10/RTX2060, I can't get any text.
If I run
deepspeech --model deepspeech-0.6.0-models/output_graph.pbmm --lm deepspeech-0.6.0-models/lm.binary --trie deepspeech-0.6.0-models/trie --audio audio/2830-3980-0043.wav
I can get "experience proof less"
So, how can I get right result by run
python3 mic_vad_streaming.py
--model deepspeech-0.6.0-models/output_graph.pbmm
--lm deepspeech-0.6.0-models/lm.binary
--trie deepspeech-0.6.0-models/trie
--file audio/2830-3980-0043.wav
**Hello! I met this issue when I run examples <nodejs_mic_vad_streaming> and <web_microphone_websocket>.
This issue happened when I started to speak, for both of above 2 examples.
I use the original code and didn't change anything.
Please help on this. Thanks!**
[Detail of the issue]:
-(node:31408) UnhandledPromiseRejectionWarning: TypeError: modelStream.feedAudioContent is not a function
at feedAudioContent (/Users/ericyao/Desktop/DeepSpeech-examples/nodejs_mic_vad_streaming/start.js:193:14)
at processSilence (/Users/ericyao/Desktop/DeepSpeech-examples/nodejs_mic_vad_streaming/start.js:97:3)
at vad.processAudio.then (/Users/ericyao/Desktop/DeepSpeech-examples/nodejs_mic_vad_streaming/start.js:57:5)
(node:31408) UnhandledPromiseRejectionWarning: Unhandled promise rejection. This error originated either by throwing inside of an async function without a catch block, or by rejecting a promise which was not handled with .catch(). (rejection id: 2)
I'm trying the demo in mic_vad_streaming.py
from branch r0.7
and I get a segmentation fault immediately when it tries to do the inference. It seems to correctly detect when there's a voice because I tried a few times and the error happens only if and when I talk.
I'm using macOS 10.15.4 with Python 3.7.7 and portaudio 19.6.0 .
This is the error:
(.venv) ➜ mic_vad_streaming git:(r0.7) ✗ python3 -i mic_vad_streaming.py -m deepspeech-0.7.0-models.pbmm
Initializing model...
INFO:root:ARGS.model: deepspeech-0.7.0-models.pbmm
TensorFlow: v1.15.0-24-gceb46aae58
DeepSpeech: v0.7.0-0-g3fbbca2b
INFO:root:ARGS.scorer: kenlm.scorer
Listening (ctrl-C to exit)...
- [1] 41138 segmentation fault python3 -i mic_vad_streaming.py -m deepspeech-0.7.0-models.pbmm
there are no dumps being produced, but this is the error report:
Process: Python [42273]
Path: /usr/local/Cellar/python/3.7.7/Frameworks/Python.framework/Versions/3.7/Resources/Python.app/Contents/MacOS/Python
Identifier: Python
Version: 3.7.7 (3.7.7)
Code Type: X86-64 (Native)
Parent Process: zsh [51532]
Responsible: iTerm2 [482]
User ID: 501
Date/Time: 2020-05-02 18:33:52.733 +0200
OS Version: Mac OS X 10.15.4 (19E266)
Report Version: 12
Bridge OS Version: 3.0 (14Y908)
Anonymous UUID: 65C6B8DA-7759-8C54-4D9F-3B73C39DB947
Sleep/Wake UUID: F8CF940C-0535-41A0-9B38-29B4D943FDD7
Time Awake Since Boot: 1200000 seconds
Time Since Wake: 32000 seconds
System Integrity Protection: enabled
Crashed Thread: 0 Dispatch queue: com.apple.main-thread
Exception Type: EXC_BAD_ACCESS (SIGSEGV)
Exception Codes: KERN_INVALID_ADDRESS at 0x0000000000000020
Exception Note: EXC_CORPSE_NOTIFY
Termination Signal: Segmentation fault: 11
Termination Reason: Namespace SIGNAL, Code 0xb
Terminating Process: exc handler [42273]
VM Regions Near 0x20:
-->
__TEXT 000000010b707000-000000010b709000 [ 8K] r-x/r-x SM=COW /usr/local/Cellar/python/3.7.7/Frameworks/Python.framework/Versions/3.7/Resources/Python.app/Contents/MacOS/Python
Thread 0 Crashed:: Dispatch queue: com.apple.main-thread
0 libdeepspeech.so 0x000000010ffb31d7 0x10dae9000 + 38576599
1 libdeepspeech.so 0x000000010ffa8312 0x10dae9000 + 38531858
2 libdeepspeech.so 0x000000010daecc80 0x10dae9000 + 15488
3 libdeepspeech.so 0x000000010daece1c 0x10dae9000 + 15900
4 libdeepspeech.so 0x000000010daec984 0x10dae9000 + 14724
5 libdeepspeech.so 0x000000010daec0cc 0x10dae9000 + 12492
6 _impl.cpython-37m-darwin.so 0x000000010be102e0 _wrap_FeedAudioContent(_object*, _object*, _object*) + 272
7 org.python.python 0x000000010b72af01 _PyMethodDef_RawFastCallKeywords + 537
8 org.python.python 0x000000010b72a45c _PyCFunction_FastCallKeywords + 41
9 org.python.python 0x000000010b7bfa6c call_function + 628
10 org.python.python 0x000000010b7b8a47 _PyEval_EvalFrameDefault + 6767
11 org.python.python 0x000000010b72a830 function_code_fastcall + 106
12 org.python.python 0x000000010b7bfad9 call_function + 737
13 org.python.python 0x000000010b7b8a47 _PyEval_EvalFrameDefault + 6767
14 org.python.python 0x000000010b72a830 function_code_fastcall + 106
15 org.python.python 0x000000010b7bfad9 call_function + 737
16 org.python.python 0x000000010b7b8a2e _PyEval_EvalFrameDefault + 6742
17 org.python.python 0x000000010b72a830 function_code_fastcall + 106
18 org.python.python 0x000000010b7bfad9 call_function + 737
19 org.python.python 0x000000010b7b8ae2 _PyEval_EvalFrameDefault + 6922
20 org.python.python 0x000000010b7c02cd _PyEval_EvalCodeWithName + 1698
21 org.python.python 0x000000010b7b6f35 PyEval_EvalCode + 51
22 org.python.python 0x000000010b7e537c run_mod + 54
23 org.python.python 0x000000010b7e43af PyRun_FileExFlags + 160
24 org.python.python 0x000000010b7e3a66 PyRun_SimpleFileExFlags + 270
25 org.python.python 0x000000010b7fc276 pymain_main + 5445
26 org.python.python 0x000000010b7fc8e4 _Py_UnixMain + 56
27 libdyld.dylib 0x00007fff6f61acc9 start + 1
Thread 1:
0 libsystem_kernel.dylib 0x00007fff6f75e882 __psynch_cvwait + 10
1 libsystem_pthread.dylib 0x00007fff6f81f425 _pthread_cond_wait + 698
2 libopenblasp-r0.3.7.dylib 0x0000000110cecc3b blas_thread_server + 619
3 libsystem_pthread.dylib 0x00007fff6f81f109 _pthread_start + 148
4 libsystem_pthread.dylib 0x00007fff6f81ab8b thread_start + 15
Thread 2:
0 libsystem_kernel.dylib 0x00007fff6f75e882 __psynch_cvwait + 10
1 libsystem_pthread.dylib 0x00007fff6f81f425 _pthread_cond_wait + 698
2 libopenblasp-r0.3.7.dylib 0x0000000116997c3b blas_thread_server + 619
3 libsystem_pthread.dylib 0x00007fff6f81f109 _pthread_start + 148
4 libsystem_pthread.dylib 0x00007fff6f81ab8b thread_start + 15
Thread 3:
0 libsystem_kernel.dylib 0x00007fff6f75e882 __psynch_cvwait + 10
1 libsystem_pthread.dylib 0x00007fff6f81f425 _pthread_cond_wait + 698
2 libc++.1.dylib 0x00007fff6c8ee592 std::__1::condition_variable::wait(std::__1::unique_lock<std::__1::mutex>&) + 18
3 libdeepspeech.so 0x000000010fba2bf5 0x10dae9000 + 34315253
4 libdeepspeech.so 0x000000010fba28ca 0x10dae9000 + 34314442
5 libdeepspeech.so 0x000000010fba240d 0x10dae9000 + 34313229
6 libdeepspeech.so 0x000000010fba1ce2 0x10dae9000 + 34311394
7 libdeepspeech.so 0x000000010fbb6800 0x10dae9000 + 34396160
8 libsystem_pthread.dylib 0x00007fff6f81f109 _pthread_start + 148
9 libsystem_pthread.dylib 0x00007fff6f81ab8b thread_start + 15
Thread 4:
0 libsystem_kernel.dylib 0x00007fff6f75e882 __psynch_cvwait + 10
1 libsystem_pthread.dylib 0x00007fff6f81f425 _pthread_cond_wait + 698
2 libc++.1.dylib 0x00007fff6c8ee592 std::__1::condition_variable::wait(std::__1::unique_lock<std::__1::mutex>&) + 18
3 libdeepspeech.so 0x000000010fba2bf5 0x10dae9000 + 34315253
4 libdeepspeech.so 0x000000010fba28ca 0x10dae9000 + 34314442
5 libdeepspeech.so 0x000000010fba240d 0x10dae9000 + 34313229
6 libdeepspeech.so 0x000000010fba1ce2 0x10dae9000 + 34311394
7 libdeepspeech.so 0x000000010fbb6800 0x10dae9000 + 34396160
8 libsystem_pthread.dylib 0x00007fff6f81f109 _pthread_start + 148
9 libsystem_pthread.dylib 0x00007fff6f81ab8b thread_start + 15
Thread 5:
0 libsystem_kernel.dylib 0x00007fff6f75e882 __psynch_cvwait + 10
1 libsystem_pthread.dylib 0x00007fff6f81f425 _pthread_cond_wait + 698
2 libc++.1.dylib 0x00007fff6c8ee592 std::__1::condition_variable::wait(std::__1::unique_lock<std::__1::mutex>&) + 18
3 libdeepspeech.so 0x000000010fba2bf5 0x10dae9000 + 34315253
4 libdeepspeech.so 0x000000010fba28ca 0x10dae9000 + 34314442
5 libdeepspeech.so 0x000000010fba240d 0x10dae9000 + 34313229
6 libdeepspeech.so 0x000000010fba1ce2 0x10dae9000 + 34311394
7 libdeepspeech.so 0x000000010fbb6800 0x10dae9000 + 34396160
8 libsystem_pthread.dylib 0x00007fff6f81f109 _pthread_start + 148
9 libsystem_pthread.dylib 0x00007fff6f81ab8b thread_start + 15
Thread 6:
0 libsystem_kernel.dylib 0x00007fff6f75e882 __psynch_cvwait + 10
1 libsystem_pthread.dylib 0x00007fff6f81f425 _pthread_cond_wait + 698
2 libc++.1.dylib 0x00007fff6c8ee592 std::__1::condition_variable::wait(std::__1::unique_lock<std::__1::mutex>&) + 18
3 libdeepspeech.so 0x000000010fba2bf5 0x10dae9000 + 34315253
4 libdeepspeech.so 0x000000010fba28ca 0x10dae9000 + 34314442
5 libdeepspeech.so 0x000000010fba240d 0x10dae9000 + 34313229
6 libdeepspeech.so 0x000000010fba1ce2 0x10dae9000 + 34311394
7 libdeepspeech.so 0x000000010fbb6800 0x10dae9000 + 34396160
8 libsystem_pthread.dylib 0x00007fff6f81f109 _pthread_start + 148
9 libsystem_pthread.dylib 0x00007fff6f81ab8b thread_start + 15
Thread 7:
0 libsystem_kernel.dylib 0x00007fff6f75e882 __psynch_cvwait + 10
1 libsystem_pthread.dylib 0x00007fff6f81f425 _pthread_cond_wait + 698
2 libc++.1.dylib 0x00007fff6c8ee592 std::__1::condition_variable::wait(std::__1::unique_lock<std::__1::mutex>&) + 18
3 libdeepspeech.so 0x000000010fba2bf5 0x10dae9000 + 34315253
4 libdeepspeech.so 0x000000010fba28ca 0x10dae9000 + 34314442
5 libdeepspeech.so 0x000000010fba240d 0x10dae9000 + 34313229
6 libdeepspeech.so 0x000000010fba1ce2 0x10dae9000 + 34311394
7 libdeepspeech.so 0x000000010fbb6800 0x10dae9000 + 34396160
8 libsystem_pthread.dylib 0x00007fff6f81f109 _pthread_start + 148
9 libsystem_pthread.dylib 0x00007fff6f81ab8b thread_start + 15
Thread 8:
0 libsystem_kernel.dylib 0x00007fff6f75e882 __psynch_cvwait + 10
1 libsystem_pthread.dylib 0x00007fff6f81f425 _pthread_cond_wait + 698
2 libc++.1.dylib 0x00007fff6c8ee592 std::__1::condition_variable::wait(std::__1::unique_lock<std::__1::mutex>&) + 18
3 libdeepspeech.so 0x000000010fba2bf5 0x10dae9000 + 34315253
4 libdeepspeech.so 0x000000010fba28ca 0x10dae9000 + 34314442
5 libdeepspeech.so 0x000000010fba240d 0x10dae9000 + 34313229
6 libdeepspeech.so 0x000000010fba1ce2 0x10dae9000 + 34311394
7 libdeepspeech.so 0x000000010fbb6800 0x10dae9000 + 34396160
8 libsystem_pthread.dylib 0x00007fff6f81f109 _pthread_start + 148
9 libsystem_pthread.dylib 0x00007fff6f81ab8b thread_start + 15
Thread 9:
0 libsystem_kernel.dylib 0x00007fff6f75e882 __psynch_cvwait + 10
1 libsystem_pthread.dylib 0x00007fff6f81f425 _pthread_cond_wait + 698
2 libc++.1.dylib 0x00007fff6c8ee592 std::__1::condition_variable::wait(std::__1::unique_lock<std::__1::mutex>&) + 18
3 libdeepspeech.so 0x000000010fba2bf5 0x10dae9000 + 34315253
4 libdeepspeech.so 0x000000010fba28ca 0x10dae9000 + 34314442
5 libdeepspeech.so 0x000000010fba240d 0x10dae9000 + 34313229
6 libdeepspeech.so 0x000000010fba1ce2 0x10dae9000 + 34311394
7 libdeepspeech.so 0x000000010fbb6800 0x10dae9000 + 34396160
8 libsystem_pthread.dylib 0x00007fff6f81f109 _pthread_start + 148
9 libsystem_pthread.dylib 0x00007fff6f81ab8b thread_start + 15
Thread 10:
0 libsystem_kernel.dylib 0x00007fff6f75e882 __psynch_cvwait + 10
1 libsystem_pthread.dylib 0x00007fff6f81f425 _pthread_cond_wait + 698
2 libc++.1.dylib 0x00007fff6c8ee592 std::__1::condition_variable::wait(std::__1::unique_lock<std::__1::mutex>&) + 18
3 libdeepspeech.so 0x000000010fba2bf5 0x10dae9000 + 34315253
4 libdeepspeech.so 0x000000010fba28ca 0x10dae9000 + 34314442
5 libdeepspeech.so 0x000000010fba240d 0x10dae9000 + 34313229
6 libdeepspeech.so 0x000000010fba1ce2 0x10dae9000 + 34311394
7 libdeepspeech.so 0x000000010fbb6800 0x10dae9000 + 34396160
8 libsystem_pthread.dylib 0x00007fff6f81f109 _pthread_start + 148
9 libsystem_pthread.dylib 0x00007fff6f81ab8b thread_start + 15
Thread 11:
0 libsystem_kernel.dylib 0x00007fff6f75e882 __psynch_cvwait + 10
1 libsystem_pthread.dylib 0x00007fff6f81f425 _pthread_cond_wait + 698
2 libc++.1.dylib 0x00007fff6c8ee592 std::__1::condition_variable::wait(std::__1::unique_lock<std::__1::mutex>&) + 18
3 libdeepspeech.so 0x000000010fba2bf5 0x10dae9000 + 34315253
4 libdeepspeech.so 0x000000010fba28ca 0x10dae9000 + 34314442
5 libdeepspeech.so 0x000000010fba2059 0x10dae9000 + 34312281
6 libdeepspeech.so 0x000000010fba1ce2 0x10dae9000 + 34311394
7 libdeepspeech.so 0x000000010fbb6800 0x10dae9000 + 34396160
8 libsystem_pthread.dylib 0x00007fff6f81f109 _pthread_start + 148
9 libsystem_pthread.dylib 0x00007fff6f81ab8b thread_start + 15
Thread 12:: AMCP Logging Spool
0 libsystem_kernel.dylib 0x00007fff6f75be36 semaphore_wait_trap + 10
1 com.apple.audio.caulk 0x00007fff691f4b16 caulk::mach::semaphore::wait() + 16
2 com.apple.audio.caulk 0x00007fff691f49b2 caulk::semaphore::timed_wait(double) + 106
3 com.apple.audio.caulk 0x00007fff691f47c4 caulk::concurrent::details::worker_thread::run() + 30
4 com.apple.audio.caulk 0x00007fff691f41e4 void* caulk::thread_proxy<std::__1::tuple<caulk::thread::attributes, void (caulk::concurrent::details::worker_thread::*)(), std::__1::tuple<caulk::concurrent::details::worker_thread*> > >(void*) + 45
5 libsystem_pthread.dylib 0x00007fff6f81f109 _pthread_start + 148
6 libsystem_pthread.dylib 0x00007fff6f81ab8b thread_start + 15
Thread 13:
0 libsystem_kernel.dylib 0x00007fff6f75be36 semaphore_wait_trap + 10
1 com.apple.audio.caulk 0x00007fff691f4b16 caulk::mach::semaphore::wait() + 16
2 com.apple.audio.caulk 0x00007fff691f49b2 caulk::semaphore::timed_wait(double) + 106
3 com.apple.audio.caulk 0x00007fff691f47c4 caulk::concurrent::details::worker_thread::run() + 30
4 com.apple.audio.caulk 0x00007fff691f41e4 void* caulk::thread_proxy<std::__1::tuple<caulk::thread::attributes, void (caulk::concurrent::details::worker_thread::*)(), std::__1::tuple<caulk::concurrent::details::worker_thread*> > >(void*) + 45
5 libsystem_pthread.dylib 0x00007fff6f81f109 _pthread_start + 148
6 libsystem_pthread.dylib 0x00007fff6f81ab8b thread_start + 15
Thread 14:
0 libsystem_pthread.dylib 0x00007fff6f81ab68 start_wqthread + 0
Thread 15:
0 libsystem_kernel.dylib 0x00007fff6f75be4e semaphore_timedwait_trap + 10
1 libdispatch.dylib 0x00007fff6f5c1b6b _dispatch_sema4_timedwait + 76
2 libdispatch.dylib 0x00007fff6f5c1f97 _dispatch_semaphore_wait_slow + 58
3 libdispatch.dylib 0x00007fff6f5cf795 _dispatch_worker_thread + 284
4 libsystem_pthread.dylib 0x00007fff6f81f109 _pthread_start + 148
5 libsystem_pthread.dylib 0x00007fff6f81ab8b thread_start + 15
Thread 16:
0 libsystem_pthread.dylib 0x00007fff6f81ab68 start_wqthread + 0
Thread 17:: com.apple.audio.IOThread.client
0 libsystem_kernel.dylib 0x00007fff6f75bdfa mach_msg_trap + 10
1 libsystem_kernel.dylib 0x00007fff6f75c170 mach_msg + 60
2 com.apple.audio.CoreAudio 0x00007fff34f54c75 HALB_MachPort::SendSimpleMessageWithSimpleReply(unsigned int, unsigned int, int, int&, bool, unsigned int) + 111
3 com.apple.audio.CoreAudio 0x00007fff34e50f18 invocation function for block in HALC_ProxyIOContext::HALC_ProxyIOContext(unsigned int, unsigned int) + 2677
4 com.apple.audio.CoreAudio 0x00007fff34f84c22 HALB_IOThread::Entry(void*) + 72
5 libsystem_pthread.dylib 0x00007fff6f81f109 _pthread_start + 148
6 libsystem_pthread.dylib 0x00007fff6f81ab8b thread_start + 15
Thread 18:
0 libsystem_kernel.dylib 0x00007fff6f7640fe __select + 10
1 org.python.python 0x000000010b82426c time_sleep + 116
2 org.python.python 0x000000010b72af2f _PyMethodDef_RawFastCallKeywords + 583
3 org.python.python 0x000000010b72a45c _PyCFunction_FastCallKeywords + 41
4 org.python.python 0x000000010b7bfa6c call_function + 628
5 org.python.python 0x000000010b7b8a47 _PyEval_EvalFrameDefault + 6767
6 org.python.python 0x000000010b72a830 function_code_fastcall + 106
7 org.python.python 0x000000010b72b1a3 _PyObject_Call_Prepend + 131
8 org.python.python 0x000000010b72a569 PyObject_Call + 136
9 org.python.python 0x000000010b7b8d2b _PyEval_EvalFrameDefault + 7507
10 org.python.python 0x000000010b72a830 function_code_fastcall + 106
11 org.python.python 0x000000010b7bfad9 call_function + 737
12 org.python.python 0x000000010b7b8a2e _PyEval_EvalFrameDefault + 6742
13 org.python.python 0x000000010b72a830 function_code_fastcall + 106
14 org.python.python 0x000000010b7bfad9 call_function + 737
15 org.python.python 0x000000010b7b8a2e _PyEval_EvalFrameDefault + 6742
16 org.python.python 0x000000010b72a830 function_code_fastcall + 106
17 org.python.python 0x000000010b72b1a3 _PyObject_Call_Prepend + 131
18 org.python.python 0x000000010b72a569 PyObject_Call + 136
19 org.python.python 0x000000010b8264c1 t_bootstrap + 71
20 org.python.python 0x000000010b7ed876 pythread_wrapper + 25
21 libsystem_pthread.dylib 0x00007fff6f81f109 _pthread_start + 148
22 libsystem_pthread.dylib 0x00007fff6f81ab8b thread_start + 15
Thread 0 crashed with X86 Thread State (64-bit):
rax: 0x0000000000000000 rbx: 0x0000000000000000 rcx: 0x0000000000000000 rdx: 0x0000000000000000
rdi: 0x00007fee417d8f00 rsi: 0x00007ffee44f75b0 rbp: 0x00007ffee44f7530 rsp: 0x00007ffee44f7490
r8: 0x0000000000000000 r9: 0x0000000000003dc7 r10: 0x00007fee43a00000 r11: 0x0000000000000000
r12: 0x00007fee43af9200 r13: 0x00007fee417df0d0 r14: 0x0000000000000000 r15: 0x0000000000000000
rip: 0x000000010ffb31d7 rfl: 0x0000000000010206 cr2: 0x0000000000000020
Logical CPU: 0
Error Code: 0x00000004 (no mapping for user data read)
Trap Number: 14
Binary Images:
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External Modification Summary:
Calls made by other processes targeting this process:
task_for_pid: 0
thread_create: 0
thread_set_state: 0
Calls made by this process:
task_for_pid: 0
thread_create: 0
thread_set_state: 0
Calls made by all processes on this machine:
task_for_pid: 123815692
thread_create: 0
thread_set_state: 0
VM Region Summary:
ReadOnly portion of Libraries: Total=729.9M resident=0K(0%) swapped_out_or_unallocated=729.9M(100%)
Writable regions: Total=189.1M written=0K(0%) resident=0K(0%) swapped_out=0K(0%) unallocated=189.1M(100%)
VIRTUAL REGION
REGION TYPE SIZE COUNT (non-coalesced)
=========== ======= =======
Activity Tracing 256K 1
Dispatch continuations 8192K 1
Kernel Alloc Once 8K 1
MALLOC 56.7M 51
MALLOC guard page 16K 3
MALLOC_LARGE (reserved) 384K 2 reserved VM address space (unallocated)
Memory Tag 249 120K 3
STACK GUARD 76K 19
Stack 29.6M 19
VM_ALLOCATE 27.9M 118
VM_ALLOCATE (reserved) 64.0M 2 reserved VM address space (unallocated)
__DATA 22.7M 407
__DATA_CONST 452K 38
__FONT_DATA 4K 1
__LINKEDIT 401.9M 131
__OBJC_RO 32.2M 1
__OBJC_RW 1892K 2
__TEXT 328.0M 369
__UNICODE 564K 1
mapped file 207.4M 3
shared memory 596K 9
=========== ======= =======
TOTAL 1.2G 1182
TOTAL, minus reserved VM space 1.1G 1182
Ran this on my macbook pro, and it wasn't picking up any audio from the built-in microphone. I used device = None, then tried device = 0,
I ran this: https://gist.github.com/mabdrabo/8678538
to confirm that pyaudio works and was installed correctly. It's able to pickup audio from the microphone.
Any ideas?
Hello.
I'm trying to use custom this language model in .Net example WFP project.
This model has graph file, futhermore i had made bpmm graph file.
But when i use them i get error:
Error failed to create session.
Stack trace:
at DeepSpeechClient.DeepSpeech.EvaluateResultCode(ErrorCodes resultCode)
at DeepSpeechWPF.App.OnStartup(StartupEventArgs e) in D:\Temp\DeepSpeech-examples-r0.6\net_framework\DeepSpeechWPF\App.xaml.cs:line 25
Could somebody be kind to check the model and explain what's wrong with this model above?
PS. During using of pre-trained English mozilla's model from here all goes Ok.
Hello,
I'm trying this Android Sample App but every time I speak I can't get any result.
I have downloaded to my computer and I have copied the models from the release 0.6.1 to my tablet. I am using a Samsung Galaxy tab 10.1 - 2016.
The model is created since I can get on the TextView the answer "Created model" and the Log "I/tflite: Initialised TensorFlow Lite runtime.". Thus, I think the model is created correctly. However, I have noticed that every time I press stop listening I get this following Log:
"I/Choreographer: Skipped X frames! The application may be doing too much work on its main thread." Is this the reason why I'm not getting any result?
I have tried to use the model from this release using python (translating a .wav from collected using the same device) and it has worked well.
Anyone else that have had this error?
Could you help me solving it?
Thanks in advance
The TASK_ID
, DS_VERSION
, etc. environment variables are not mentioned anywhere in the repo but are being used in the tests.sh
file. Could you please elaborate on what values to input for them?
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