30 lines
880 B
C++
30 lines
880 B
C++
// sherpa-onnx/python/csrc/vad-model.cc
|
|
//
|
|
// Copyright (c) 2023 Xiaomi Corporation
|
|
|
|
#include "sherpa-onnx/python/csrc/vad-model.h"
|
|
|
|
#include <vector>
|
|
|
|
#include "sherpa-onnx/csrc/vad-model.h"
|
|
|
|
namespace sherpa_onnx {
|
|
|
|
void PybindVadModel(py::module *m) {
|
|
using PyClass = VadModel;
|
|
py::class_<PyClass>(*m, "VadModel")
|
|
.def_static("create", &PyClass::Create, py::arg("config"))
|
|
.def("reset", &PyClass::Reset)
|
|
.def(
|
|
"is_speech",
|
|
[](PyClass &self, const std::vector<float> &samples) -> bool {
|
|
return self.IsSpeech(samples.data(), samples.size());
|
|
},
|
|
py::arg("samples"))
|
|
.def("window_size", &PyClass::WindowSize)
|
|
.def("min_silence_duration_samples", &PyClass::MinSilenceDurationSamples)
|
|
.def("min_speech_duration_samples", &PyClass::MinSpeechDurationSamples);
|
|
}
|
|
|
|
} // namespace sherpa_onnx
|