whisper-transcription

Transcribe audio with word-level timestamps using Faster-Whisper to produce precise lyric timing and subtitle alignment. It leverages the CTranslate2 backend to convert audio into timed text suitable for synchronizing vocal takes with music timelines.

Faster-Whisper supports real-time streaming transcription to generate timed text dynamically during live audio processing. This allows for immediate generation of lyric timing and subtitle alignment while audio is actively being recorded or played.

Whisper hallucinates text during silent segments because it attempts to interpret low-level noise as speech. Silero VAD pre-filters silence before transcription, significantly reducing hallucinated text in both music and speech segments.

The transcription method integrates with DAW workflows by generating timeline markers and searchable transcripts from vocal takes. Word-level timestamps allow seamless synchronization of transcribed text with music production timelines and studio session tracks.

The best way to transcribe voice notes for archiving is using Faster-Whisper to convert audio into searchable transcripts with word-level timestamps. This enables precise text alignment and efficient voice-note archiving for future reference and editing.

Silero VAD pre-filters silence to reduce hallucinated text but may occasionally clip low-volume speech or breath sounds if configured aggressively. It optimizes transcription accuracy for music production and voice-note archiving by isolating active speech segments.