# vadslice

Slices audio clips of speech into chunks of certain length in seconds at silence points so it doesn't cut in the middle of someone speaking. It uses VAD (voice activity detection from [silero-vad](https://github.com/snakers4/silero-vad)) to determine these points of silence within the clip.

Uses ONNX runtime instead of PyTorch, avoiding the heavy PyTorch dependency while maintaining the same VAD accuracy.

It's extremely fast. 


## Installation

Requires Python 3.12+.

```bash
uv add vadslice
```

or pip:

```bash
pip install vadslice
```

## Usage

### CLI

```bash
vadslice <size> <input_file> <output_dir> [--format wav|mp3|ogg|m4a]
```

Example:
```bash
vadslice 30 audio.mp3 ./chunks --format mp3
```

Chunks are saved to `output_dir/input_file_stem/chunk_XXXX_offset_XX.XXs.ext`.

### Python API

```python
from vadslice import slicer

parts = slicer("audio.mp3", slice_length_s=30.0)
for i, part in enumerate(parts):
    print(f"Part {i}: Offset: {part.offset_s}s, Size: {len(part.part)} bytes")
```

The function `slicer` returns a list of `AudioPart` objects, each containing:
- `part`: WAV bytes (16 kHz mono) for that slice
- `offset_s`: Start time offset in seconds from the original audio

Supports any audio format that PyAV can decode (MP3, WAV, OGG, M4A, FLAC, etc.).



