Does this tool transcribe the speech or identify the speaker?

No, this tool only detects the presence of speech-range audio activity; it does not perform speech-to-text transcription or speaker identification.

What does the FFmpeg cut list export format do?

It generates a list of time-based commands that you can run directly in FFmpeg to split or trim the audio file at the detected speech boundaries.

How do the sensitivity settings affect the segmentation?

Conservative mode requires stronger speech signals to trigger detection, while sensitive mode captures quieter speech but may include more background noise.

Can I adjust how short pauses are handled?

Yes, you can configure the minimum silence duration to prevent short pauses between words from splitting a single speech segment.

What audio file formats are supported?

The tool accepts standard audio file formats up to 100 MB for voice activity analysis.

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Audio Voice Activity Segmentation

Detect likely speech-range activity and export speech/non-speech ranges as JSON, CSV, SRT markers, or an FFmpeg cut list.

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What this tool helps you do

This deterministic VAD analyzes window energy, speech-band energy, and zero-crossing behavior to separate likely speech activity from non-speech. It is useful for timing, trim preparation, and subtitle alignment, but it does not identify words, speakers, or language and cannot prove that a sound is human speech. Export formats include full JSON/CSV timelines, SRT activity markers, and an FFmpeg-ready command list for the detected active ranges.

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Audio Voice Activity Segmentation

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1. Trimming Silence from Podcast Audio

2. Generating Subtitle Timestamps for Video

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