In this paper we address the combination of multiple feature streams in a fast speaker diarization system for meeting recordings. Whenever Multiple Distant Microphones (MDM) are used, it is possible to estimate the Time Delay of Arrival (TDOA) for different channels. In , it is shown that TDOA can be used as additional features together with conventional spectral features for improving speaker diarization. We investigate here the combination of TDOA and spectral features in a fast diarization system based on the Information Bottleneck principle. We evaluate the algorithm on the NIST RT06 diarization task. Adding TDOA features to spectral features reduces the speaker error by 7% absolute. Results are comparable to those of conventional HMM/GMM based systems with consistent reduction in computational complexity.
Bibliographic reference. Vijayasenan, Deepu / Valente, Fabio / Bourlard, Hervé (2008): "Integration of TDOA features in information bottleneck framework for fast speaker diarization", In INTERSPEECH-2008, 40-43.