Compute silent intervals of audio:

Find intervals where the RMS amplitude is less than 0.01:

Visualize silent intervals:

Find intervals with low RMS amplitudes:

Visualize the resulting intervals:

Find quiet intervals using a data-dependent threshold:

By default, intervals of any length are returned:

Compute the interval durations:

Find only intervals longer than a specified threshold:

Test multiple properties at once:

Analyze the audio track of a video:

Delete silent intervals of audio:

Find the intervals where the RMS amplitude is larger than a threshold:

Join the extracted intervals:

It is also possible to find silent intervals using a momentary loudness definition from the EBU standard:

Use the "VoiceActivity" property to detect voiced intervals in a speech signal:

Visualize the detected intervals:

Combine other properties such as RMS amplitude and spectral flatness to find unvoiced audio segments:

Visualize the detected intervals:

Detect unvoiced segments and attenuate them:

Use the "VoiceActivity" property to detect unvoiced intervals:

Visualize the detected intervals:

Attenuate the detected intervals:

The criterion function will fail if the return value is not a Boolean:

Some properties, such as "FundamentalFrequency", can have non-numeric values, so extra care is needed: