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View Code? Open in Web Editor NEWDeep Learning - one shot learning for speaker recognition using Filter Banks
Deep Learning - one shot learning for speaker recognition using Filter Banks
sudo docker run --rm -p 5000:5000 yoso
* Serving Flask app "demo/app.py"
* Environment: production
WARNING: This is a development server. Do not use it in a production deployment.
Use a production WSGI server instead.
* Debug mode: off
Usage: flask run [OPTIONS]
Try 'flask run --help' for help.
Error: While importing "fbank_net.demo.app", an ImportError was raised:
Traceback (most recent call last):
File "/usr/local/lib/python3.6/site-packages/flask/cli.py", line 240, in locate_app
__import__(module_name)
File "/fbank_net/demo/app.py", line 8, in <module>
from .preprocessing import extract_fbanks
File "/fbank_net/demo/preprocessing.py", line 1, in <module>
import librosa
File "/usr/local/lib/python3.6/site-packages/librosa/__init__.py", line 12, in <module>
from . import core
File "/usr/local/lib/python3.6/site-packages/librosa/core/__init__.py", line 125, in <module>
from .time_frequency import * # pylint: disable=wildcard-import
File "/usr/local/lib/python3.6/site-packages/librosa/core/time_frequency.py", line 11, in <module>
from ..util.exceptions import ParameterError
File "/usr/local/lib/python3.6/site-packages/librosa/util/__init__.py", line 77, in <module>
from .utils import * # pylint: disable=wildcard-import
File "/usr/local/lib/python3.6/site-packages/librosa/util/utils.py", line 15, in <module>
from .decorators import deprecated
File "/usr/local/lib/python3.6/site-packages/librosa/util/decorators.py", line 9, in <module>
from numba.decorators import jit as optional_jit
ModuleNotFoundError: No module named 'numba.decorators'
The title is self explanatory! Could you share also the notebook you have used to calibrate the fbank_net ?
It seems (as per your notes it performs better)
Thanks
pb
Hey,
Thx for your great job and sharing it.
Can I please have the pre-trained models, the data and info for how to use them for my purpose?
I do not have enough hardware to train a model like this.
Thanks for the repo!
I have a question... you've said that "Hence our model is optimized to maximize negative accuracy".
Can you help me how to maximize positive accuracy in this your code?
Is this project based on a paper?
can you share the documentation to us ?
can you upload a license file?
Originally posted by @saud990 in cloud-gov/cg-site#2396 (comment)
Hi, great work and I’m looking forward to test this.
But I tried running the demo through docker and also on my machine but the app.js doesn’t seem to trigger microphone input in browser (Safari and Firefox).
Thanks!
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