wavecap-hallucination

Whisper AI generates phantom text on silent audio because it attempts to predict language patterns even without speech. This hallucination occurs on low-energy audio, but filters can detect and discard these common nonsensical phrases.

Configure Whisper transcription to stop repeating phrases by enabling segment repetition detection. This identifies and discards excessively repeated phrases, filtering out non-speech artifacts to optimize transcription accuracy on low-quality audio.

Blank audio detection in speech recognition identifies segments with minimal speech energy. Instead of generating phantom text, it emits a designated token to indicate silence, preventing AI hallucinations during long quiet moments in audio processing.

Yes, you can filter specific hallucinated phrases from Whisper AI speech recognition output. Silence hallucination phrase management allows you to configure Whisper to ignore specific nonsensical phrases when they appear on low-energy or silent audio.

Whisper AI hallucination filtering works effectively for meeting transcriptions with long silences. It prevents the AI from outputting gibberish or repeated phrases during quiet moments, ensuring accurate speech recognition for prolonged silent audio segments.

Hallucination detection for audio processing relies on identifying common phrases and minimal speech energy, meaning it targets known non-speech artifacts. It optimizes transcription accuracy by filtering gibberish but is limited to configured hallucination parameters and silence thresholds.