Determining the number of speakers in a meeting using microphone array features

E. Zwyssig, S. Renals, M. Lincoln

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The accuracy of speaker diarisation in meetings relies heavily on determining the correct number of speakers. In this paper we present a novel algorithm based on time difference of arrival (TDOA) features that aims to find the correct number of active speakers in a meeting and thus aid the speaker segmentation and clustering process. With our proposed method the microphone array TDOA values and known geometry of the array are used to calculate a speaker matrix from which we determine the correct number of active speakers with the aid of the Bayesian information criterion (BIC). In addition, we analyse several well-known voice activity detection (VAD) algorithms and verified their fitness for meeting recordings. Experiments were performed using the NIST RT06, RT07 and RT09 data sets, and resulted in reduced error rates compared with BIC-based approaches.
Original languageEnglish
Title of host publicationAcoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
Pages4765-4768
Number of pages4
DOIs
Publication statusPublished - 2012

Fingerprint Dive into the research topics of 'Determining the number of speakers in a meeting using microphone array features'. Together they form a unique fingerprint.

Cite this