Ses çykaryjyny tap
Özüni-özü tana we öz audio we wideo transkripsiýalaryňda dürli sözleýjileri etiketle. Kimiň näme aýdanyny dogry bil.
Sesçi Diaryzasiýasy näme?
Sesçi diaryzasiýa ses akymyny sesçi kimligine görä böleklere bölmek prosesidir. Basit sözler bilen, ol "Kim näçede gürledi?" soragyna jogap berýär. 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.
Sesçi tapmak nädip işleýär
Ses hereketini tap
Sistem ilki sesiň haýsy segmentleri sesli we sessiz, müzik ýa arkaplan gürlemini içerdigini kesgitler.
2. Goçmak
Her bir söz bölümi bir sözleýjiniň äpişgesine öwrülýär -- sözleýjiniň özboluşly ses häsiýetlerini alýan bir gysga vektor.
3. Topluşdyrmak we Etiketlemek
Embeddings grouped to group segments from the same speaker together, then each cluster is assigned a label (Speaker 1, Speaker 2, etc.)
Ses çykaryjyny tapmak üçin ullan
STT.ai-de sözleýji tapmak
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.
Indi sözleýji tapmak üçin synal
Birnäçe sözleýji ýazgylary ýükle we sözleýjileri awtomatiki taglanylan gör.
_Gözleg