Performs voice activity detection. Works on streaming data. Filters out silences in the provided audio.
Parameters
name |
description | default |
---|---|---|
Sensitivity | The range is 0.0-1.0 inclusive, 1.0 being the most sensitive. If you use 1.0 even the smallest voices will be heard and taken into account when VAD decides which part of the received data is actually speech. | 1.0 |
MaxSpeechDurationMsec | If the speech does not end after this duration it will be ended by VAD. This will be treated as a normal end of speech, and an appropriate speech-ended event will be generated. Exceeding this timeout will not generated an error. | -1 |
PreSpeechBufferMsec | After start of speech is detected VAD rewinds and takes a little more data before the detected beginning, just in case a low energy voice happens to be there. This duration is determined pre-speech-buffer-msec | 300 |
PostSpeechBufferMsec | After the end of speech is detected VAD takes a little more data after the detected end just in case a low energy voice happens to be there. This duration is determined by post-speech-buffer-msec. | 300 |
SilenceTriggerMsec | The amount of silence in milliseconds for VAD to expect in order to decide that the speech has actually ended | 400 |
Inputs
Audio
Accepts audio from a single channel.
Events
none
Outputs
Audio
After removing the silences in the input audio the remaining data is sent to output.
Events
name | description |
---|---|
Speech Started | Raised once at the beginning of each piece of actual audio fragment. |
Speech Ended | Raised once at the end of each piece of actual audio fragment. |
Remarks
Project Structure
A simple project can be built as such:
Important Note
Make sure that both the Audio
output and the Event
output is connected to the receiving nodes. Otherwise, the following nodes will not know when the speech starts and ends.
Supported flow types
Stream, Batch