Detekcija zvučnika i diarizacija

Šta je to govornik diarization?

Diarizacija govornika je proces podjele audio toka u segmente u skladu sa identitetom govornika. Jednostavnije rečeno, ona odgovara na pitanje "ko je govorio kada?" This is essential for multi-speaker recordings like meetings, interviews, podcasts, conference calls, and legal proceedings where knowing who said what is just as important as what was said.

STT.ai uses advanced neural speaker diarization models that can detect and label speakers in real time. The system creates speaker embeddings -- numerical representations of each voice's unique characteristics -- and clusters them to distinguish between different people. This works even when speakers have similar voices or frequently interrupt each other.

Kako funkcionira otkrivanje govornika

Slučajevi upotrebe za otkrivanje govornika

Detekcija zvučnika na STT.ai

Speaker detection is available on all paid plans. When you transcribe audio or video with speaker detection enabled, the transcript will include speaker labels inline with the text. You can also export speaker-labeled transcripts in all supported formats including SRT, VTT, DOCX, JSON, and PDF.

The system can detect up to 20 distinct speakers in a single recording. For best results, ensure each speaker has at least a few seconds of solo speech. Overlapping speech is handled but may reduce accuracy in heavily cross-talked segments.