Target-speaker Voice Activity Detection with Improved I-Vector Estimation for Unknown Number of Speaker

Understand

Target-speaker voice activity detection (TS-VAD) has recently shown promising results for speaker diarization on highly overlapped speech.

• However, the original model requires a fixed (and known) number of speakers, which limits its application to real conversations.
• In this paper, we extend TS-VAD to speaker diarization with unknown numbers of speakers.
• This is achieved by two steps: first, an initial diarization system is applied for speaker number estimation, followed by TS-VAD network output masking according to this estimate.