Konuşmacı Tespit ve Diarization

Konuşmacı Diarization Nedir?

Konuşmacı diyarizasyonu, ses akışına, konuşanın kimliğine göre segmentlere ayırma işlemidir.Basit bir ifadeyle, "kim ne zaman konuştu?" sorusuna cevap verir. 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.

Konuşmacı Tespiti Nasıl Çalışıyor

Konuşmacı Tespiti için Kullanım Durumları

STT.ai'de Konuşmacı Tespiti

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.