SeaVAD: Voice Activity Detection module with silero and state machine.
Project description
SeaVAD
SeaVAD is a Python package for Voice Activity Detection (VAD) using a state machine version of SileroVAD os you can control the performance.
Installation
You can install SeaVAD using pip:
pip install SeaVAD
Usage
Here is a simple example of how to use SeaVAD:
from seavad.main import SeaVAD
# Load your audio file
audio_path = 'path/to/your/audio/file.wav'
# Create a SeaVAD object with the sample rate and sample width of your audio.
vad = SeaVAD(sample_rate=16000, sample_width=2)
# Detect voice activity
segments = vad.get_vad_segments(audio_path)
# Print the detected segments
for (start, end) in segments:
print(f"Start: {start}, End: {end}")
License
See the LICENSE file for details.
Contact
For any questions or inquiries, please contact us at info@seasalt.ai
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file seavad-0.0.1.tar.gz.
File metadata
- Download URL: seavad-0.0.1.tar.gz
- Upload date:
- Size: 8.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.8.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
edd01fa4109079ade466d8c8e65fd82bae30a13a52a1e52901965ccd2875e65a
|
|
| MD5 |
2f12497be5ca52d6d33845aef766513e
|
|
| BLAKE2b-256 |
37004398bc7f47c17f3cfc50ccbcab8c7cce56f445be344411f24019cd057730
|
File details
Details for the file seavad-0.0.1-py3-none-any.whl.
File metadata
- Download URL: seavad-0.0.1-py3-none-any.whl
- Upload date:
- Size: 8.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.8.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
04f19b31c7a6a3e927fcc216beab1442158d3dc5673d41384a5048560947cfaf
|
|
| MD5 |
7337247cb35bcdf38bdbc80ebf0c0298
|
|
| BLAKE2b-256 |
71a0514d53ac101457e24ff43fd36cf9c5683443f720fdf0fae4beb6277e2d22
|