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'
with open(test_audio, "r") as f:
f.seek(44)
audio_data = f.read()
# Local VAD onnx model path
model_file_path = 'path/to/vad/onnx/model'
# Create a SeaVAD object with the sample rate and sample width of your audio.
# Only 16000 and 8000 sample_rate supported
vad = SeaVAD(model_file_path=model_file_path, sample_rate=16000, sample_width=2)
# Detect voice activity
segments = vad.get_vad_segments(audio_data)
# 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
Metadata
Release files for seavad 0.0.8
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| seavad-0.0.8.tar.gz | 9.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| seavad-0.0.8-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 18.2 kB
Release files / seavad-0.0.8.tar.gz
| Download URL | seavad-0.0.8.tar.gz |
|---|---|
| Size | 9.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
34a647b76d2f304580fe737b231590f4f2907141cbedaa589db0c9a98929db01
|
|
BLAKE2b-256 checksum How to use checksums |
a011a7f4fc99c9cbcad807f88de5614ad582cf246c449e5234f03e45941f5a38
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.8.10
|
Release files / seavad-0.0.8-py3-none-any.whl
| Download URL | seavad-0.0.8-py3-none-any.whl |
|---|---|
| Size | 8.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
bf914cf4deefbcb7f2b2869ed3b70183212ce603042253b9c8e0a29f29624417
|
|
BLAKE2b-256 checksum How to use checksums |
af85941456401a316366f3bb2c6d6a1ce14c7184d3a684dc4edb228244dcb639
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.8.10
|