Comments (9)
@manbharae - I remembered I had a permission error when installing, but this fixed it
pip3 install --user webrtcvad
and then to run it, set the aggressive mode and specify filename
python3 example.py 0 output.wav
for agressive mode of 0, and
python3 example.py 1 output.wav
for agressive mode of 1, etc.
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how does it know where to find test.wav to process?
It's all relative. If your file test.wav is in the current path, it is
python3 example.py 1 test.wav
If your file test.wav is in some other path, it is
python3 example.py 1 ~/someotherpath/output.wav
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@jehoshua7 Could you tell how to process a .wav/.mp3 using py-webrtcvad?
i.e After doing pip install py-webrtcvad what do I do?
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I too had the installation issue. your suggestion of --user
tag helped! Thank you very much for pointing it 👍 .
Question:
say my file is name test.wav
in the python3 example.py 1 output.wav
how does it know where to find test.wav
to process?
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example.py
is just meant to show you how to write code that uses the VAD, not be a full-featured application. But you could try changing line 150 to use a smaller time window. Instead of
segments = vad_collector(sample_rate, 30, 300, vad, frames)
try this, which changes the time window from 300 ms to 100 ms:
segments = vad_collector(sample_rate, 30, 100, vad, frames)
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@wiseman Yes, thanks John, that was the line I was looking at last night. So, good timing, thanks. :)
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@jehoshua7 how can i get audio chunks size no more than 9 seconds?
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@wiseman Yes, thanks John, that was the line I was looking at last night. So, good timing, thanks. :)
@jehoshua7 how can i get audio chunks size no more than 9 seconds?
i got it in this way.. my chunks wont be no more than 9 seconds now
if len(voiced_frames) > 300:
sys.stdout.write('-(%s)' % (frame.timestamp + frame.duration))
end.append(frame.timestamp + frame.duration)
triggered = False
yield b''.join([f.bytes for f in voiced_frames])
ring_buffer.clear()
voiced_frames = []
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@wiseman Yes, thanks John, that was the line I was looking at last night. So, good timing, thanks. :)
@jehoshua7 how can i get audio chunks size no more than 9 seconds?
i got it in this way.. my chunks wont be no more than 9 seconds now
Update in the else part of vad collector
if len(voiced_frames) > 300:
sys.stdout.write('-(%s)' % (frame.timestamp + frame.duration))
end.append(frame.timestamp + frame.duration)
triggered = False
yield b''.join([f.bytes for f in voiced_frames])
ring_buffer.clear()
voiced_frames = []
this code will be followed by elif num_voiced>0.9
*****************
*****************
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Related Issues (20)
- webrtcvad.Vad() returns True with random noise HOT 1
- Question: Is there a way to filter noise before running VAD? HOT 1
- about transfer learning
- I am having Issue installing webrtcvad i have posted the error code bellow HOT 2
- problem installing on MacOs BigSur 11.4
- A sequence which the value indicates the corresponding sample is to be trimmed or preserved
- [https://drive.google.com/file/d/1ze3PHQtfpzCietKjyRT9Nd1t5jXKqtfS/view?usp=sharing](url) HOT 5
- How can I get the probability of whether this audio is speaking or not
- WEBRTC_ARCH_*, PPC and environment variable? HOT 4
- can't install on macOs Monterey 12.1 (21C52) HOT 1
- Memory leak problem still existed in version 2.0.10 HOT 2
- Help please ran the code and gave an error pip install -r requirements.txt
- Installing error HOT 2
- webrtcvad.Error: Error while processing frame
- multiprocessing bug HOT 1
- I need help HOT 10
- Trouble converting pyAudio Mic input to VAD frames HOT 4
- error: subprocess-exited-with-error while installing with pip HOT 3
- Failed to build webrtcvad when installing a package
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