Electrical Engineering
      and Computer Sciences

Electrical Engineering and Computer Sciences


UC Berkeley


2009 Research Summary

Audio-Visual Speaker Diarization

View Current Project Information

Mary Tai Knox and Nelson Morgan

Swiss National Science Foundation IM2

The goal of speaker diarization is to partition an audio recording into speaker homogeneous regions. Speaker diarization involves multiple tasks, including separating the audio into speech and non-speech regions and assigning the appropriate speaker(s) to the speech regions.

There are many speech related areas where speaker diarization provides useful information. For example, speaker diarization could be used to separate an automatic speech recognition output by speaker, thereby making the transcript more understandable. Also, nowadays remote meetings are becoming more prevalent. Incorporating speaker diarization could be used to inform remote meeting participants of the current speaker.

A significant amount of work has been done in speaker diarization using audio-only data. However, current diarization datasets also include video data. In this project, we hope to exploit information from the video data to improve current state-of-the-art speaker diarization systems.