// Calculate VAD decision by first extracting feature values and then calculate
// probability for both speech and background noise.
-int WebRtcVad_CalcVad48khz(VadInstT* inst, int16_t* speech_frame,
+int WebRtcVad_CalcVad48khz(VadInstT* inst, const int16_t* speech_frame,
int frame_length) {
int vad;
int i;
return vad;
}
-int WebRtcVad_CalcVad32khz(VadInstT* inst, int16_t* speech_frame,
+int WebRtcVad_CalcVad32khz(VadInstT* inst, const int16_t* speech_frame,
int frame_length)
{
int len, vad;
return vad;
}
-int WebRtcVad_CalcVad16khz(VadInstT* inst, int16_t* speech_frame,
+int WebRtcVad_CalcVad16khz(VadInstT* inst, const int16_t* speech_frame,
int frame_length)
{
int len, vad;
return vad;
}
-int WebRtcVad_CalcVad8khz(VadInstT* inst, int16_t* speech_frame,
+int WebRtcVad_CalcVad8khz(VadInstT* inst, const int16_t* speech_frame,
int frame_length)
{
int16_t feature_vector[kNumChannels], total_power;