ဟောပြောသူ ရှာဖွေခြင်းနှင့် Diarization

Speaker Diarization ဆိုတာဘာလဲ?

Speaker diarization သည် Speaker ၏ကိုယ်ပိုင်အမည်အရ segment များသို့ audio stream ကို partitioning ၏လုပ်ငန်းစဉ်ဖြစ်သည်။ ရိုးရှင်းသောအသုံးအနှုန်းများဖြင့် "မည်သူမည်ဝါပြောခဲ့သည်?" 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.

Speaker Detection လုပ်ဆောင်ပုံ

Speaker Detection အတွက် အသုံးပြုမှု အခြေအနေများ

STT.ai တွင် Speaker Detection

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.