Releases

1. ▸▾6.2.323 Sept 2026

   torchaudio is now an optional dependency instead of required. Only torch is required — the model itself never used torchaudio, only the read_audio / s

   torchaudio is now an optional dependency instead of required. Only torch is required — the model itself never used torchaudio, only the read_audio / save_audio helpers did.

   Users who need audio I/O must now install a backend explicitly:

   • pip install silero-vad[audio] (torchaudio)
   • pip install silero-vad[codec] (torchcodec)
   • pip install silero-vad[all] (everything)

   Key changes:

   • read_audio / save_audio now work with either torchaudio or torchcodec; with neither installed they raise an error naming the extra to install
   • Fixed: import silero_vad failed when onnxruntime was not installed — the sequence path is now imported lazily
   • numpy is now declared in [onnx-cpu] / [onnx-gpu]

   If you load audio yourself, no backend is needed at all:

   from silero_vad import load_silero_vad, get_speech_timestamps
   
   model = load_silero_vad()
   audio = ...                                      # 1-D float32 torch.Tensor from any source
   ts = get_speech_timestamps(audio, model, return_seconds=True)

   Open source →