Add Silero VAD (#313)

sherpa-onnx/python/csrc/voice-activity-detector.cc

@@ -0,0 +1,41 @@
+// sherpa-onnx/python/csrc/voice-activity-detector.cc
+//
+// Copyright (c)  2023  Xiaomi Corporation
+
+#include "sherpa-onnx/python/csrc/voice-activity-detector.h"
+
+#include <vector>
+
+#include "sherpa-onnx/csrc/voice-activity-detector.h"
+
+namespace sherpa_onnx {
+
+void PybindSpeechSegment(py::module *m) {
+  using PyClass = SpeechSegment;
+  py::class_<PyClass>(*m, "SpeechSegment")
+      .def_property_readonly("start",
+                             [](const PyClass &self) { return self.start; })
+      .def_property_readonly("samples",
+                             [](const PyClass &self) { return self.samples; });
+}
+
+void PybindVoiceActivityDetector(py::module *m) {
+  PybindSpeechSegment(m);
+  using PyClass = VoiceActivityDetector;
+  py::class_<PyClass>(*m, "VoiceActivityDetector")
+      .def(py::init<const VadModelConfig &, float>(), py::arg("config"),
+           py::arg("buffer_size_in_seconds") = 60)
+      .def(
+          "accept_waveform",
+          [](PyClass &self, const std::vector<float> &samples) {
+            self.AcceptWaveform(samples.data(), samples.size());
+          },
+          py::arg("samples"))
+      .def("empty", &PyClass::Empty)
+      .def("pop", &PyClass::Pop)
+      .def("is_speech_detected", &PyClass::IsSpeechDetected)
+      .def("reset", &PyClass::Reset)
+      .def_property_readonly("front", &PyClass::Front);
+}
+
+}  // namespace sherpa_onnx