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@@ -41,7 +41,7 @@ https://user-images.githubusercontent.com/36505480/144874384-95f80f6d-a4f1-42cc-
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Dependencies:
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- `torch>=1.12.0`;
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- `torchaudio>=0.12.0` (for I/O functionalities only);
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- `torchaudio>=0.12.0` (for I/O only);
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- `onnxruntime>=1.16.1` (for ONNX model usage).
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Silero VAD uses torchaudio library for audio I/O (`torchaudio.info`, `torchaudio.load`, and `torchaudio.save`), so a proper audio backend is required:
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@@ -52,7 +52,7 @@ https://user-images.githubusercontent.com/36505480/144874384-95f80f6d-a4f1-42cc-
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If you are planning to run the VAD using solely the `onnx-runtime`, it will run on any other system architectures where onnx-runtume is [supported](https://onnxruntime.ai/getting-started). In this case please note that:
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- You will have to impolement the I/O;
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- You will have to implement the I/O;
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- You will have to adapt the existing wrappers / examples / post-processing for your use-case.
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</details>
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