Silero-VAD V6 in C++ (based on LibTorch)

This is the source code for Silero-VAD V6 in C++, utilizing LibTorch & Onnxruntime. You should compare its results with the Python version. Results at 16 and 8kHz have been tested. Batch and CUDA inference options are deprecated.

Requirements

GCC 11.4.0 (GCC >= 5.1)
Onnxruntime 1.11.0 (other versions are also acceptable)
LibTorch 1.13.0 (other versions are also acceptable)

Download LibTorch

-Onnxruntime
$wget https://github.com/microsoft/onnxruntime/releases/download/v1.11.1/onnxruntime-linux-x64-1.11.1.tgz
$tar -xvf onnxruntime-linux-x64-1.11.1.tgz
$ln -s onnxruntime-linux-x64-1.11.1 onnxruntime-linux    #soft-link

-Libtorch
$wget https://download.pytorch.org/libtorch/cpu/libtorch-shared-with-deps-1.13.0%2Bcpu.zip
$unzip libtorch-shared-with-deps-1.13.0+cpu.zip

Compilation

-ONNX-build
$g++ main.cc silero.cc -I ./onnxruntime-linux/include/ -L ./onnxruntime-linux/lib/ -lonnxruntime -Wl,-rpath,./onnxruntime-linux/lib/ -o silero -std=c++14 -D_GLIBCXX_USE_CXX11_ABI=0 -DUSE_ONNX

-TORCH-build
$g++ main.cc silero.cc -I ./libtorch/include/ -I ./libtorch/include/torch/csrc/api/include -L ./libtorch/lib/ -ltorch -ltorch_cpu -lc10 -Wl,-rpath,./libtorch/lib/ -o silero -std=c++14 -D_GLIBCXX_USE_CXX11_ABI=0 -DUSE_TORCH

Optional Compilation Flags

-DUSE_TORCH -DUSE_ONNX

Run the Program

To run the program, use the following command:

./silero <sample.wav> <SampleRate> <threshold> ./silero aepyx.wav 16000 0.5 ./silero aepyx_8k.wav 8000 0.5

The sample file aepyx.wav is part of the Voxconverse dataset. File details: aepyx.wav is a 16kHz, 16-bit audio file. File details: aepyx_8k.wav is a 8kHz, 16-bit audio file.

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