Voice Activity Detection (VAD) from Microphone Input on iOS
Voice Activity Detection (VAD) is a technique used to determine when someone is speaking into a microphone. This can be useful for a variety of applications, such as speech recognition, noise cancellation, and automatic gain control.
There are a number of different VAD algorithms that can be used, and the best algorithm for a particular application will depend on the specific requirements of that application.
One popular VAD algorithm is the WebRTC VAD algorithm. This algorithm is open-source and has been shown to perform well in a variety of applications. The WebRTC VAD algorithm is available as a Python package called py-webrtcvad.
To use the py-webrtcvad package in Swift, you can follow these steps:
- Install the py-webrtcvad package using pip.
- Import the py-webrtcvad package into your Swift project.
- Create a VAD object.
- Configure the VAD object with the desired parameters.
- Start processing audio data.
- Check the VAD object to see if there is speech activity.
Here is an example of how to use the py-webrtcvad package in Swift:
import py_webrtcvad
vad = py_webrtcvad.Vad()
vad.set_mode(3)
vad.set_sample_rate(16000)
while True:
audio_data = microphone.read()
vad.process(audio_data)
if vad.is_speech():
# Do something
The py-webrtcvad package provides a simple and easy-to-use interface for VAD in Swift. This package can be used to develop a variety of applications that require VAD.
Additional Resources
Disclaimer
The information provided in this blog post is for informational purposes only and should not be construed as professional advice. The author assumes no responsibility for any damages or losses resulting from the use of the information provided in this blog post.