CleanVoice
A Fast Speech Enhancement toolkit using Conv-TasNet (Yi Luo, Nima Mesgarani)
Only works with 16kHz audio.
Install
pip install cleanvoice
Usage
Audio file
from cleanvoice import cleanvoice
from scipy.io.wavfile import write as write_wav
audio_data = cleanvoice("audio.wav")
write_wav("audio-cleaned.wav", 16000, audio_data)
NumPy Array as input
from cleanvoice import cleanvoice
from scipy.io.wavfile import write as write_wav
import librosa
y, _ = librosa.load("audio.wav", mono=True, sr=16000)
audio_data = cleanvoice(y)
write_wav("audio-cleaned.wav", 16000, audio_data)
License
Apache-2.0
1 maintainer
Metadata
1 maintainer
Release files for cleanvoice 0.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| cleanvoice-0.0.2.tar.gz | 18.4 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| cleanvoice-0.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 36.7 MB
Release files / cleanvoice-0.0.2.tar.gz
| Download URL | cleanvoice-0.0.2.tar.gz |
|---|---|
| Size | 18.4 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/5.0.0 CPython/3.8.1
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Release files / cleanvoice-0.0.2-py3-none-any.whl
| Download URL | cleanvoice-0.0.2-py3-none-any.whl |
|---|---|
| Size | 18.4 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
d95ebcf98ea0b725cc32843204a43ee48f6ea944bd5c1c991132e76775c9c4d7
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.8.1
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