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CLEAR
2007
Springer

The ICSI RT07s Speaker Diarization System

9 years 6 months ago
The ICSI RT07s Speaker Diarization System
Abstract. In this paper, we present the ICSI speaker diarization system. This system was used in the 2007 National Institute of Standards and Technology (NIST) Rich Transcription evaluation. The ICSI system automatically performs both speaker segmentation and clustering without any prior knowledge of the identities or the number of speakers. Our system uses “standard” speech processing components and techniques such as HMMs, agglomerative clustering, and the Bayesian Information Criterion. However, we have developed the system with an eye towards robustness and ease of portability. Thus we have avoided the use of any sort of model that requires training on “outside” data and we have attempted to develop algorithms that require as little tuning as possible. The system is simular to last year’s system [1] except for three aspects. We used the most recent available version of the beam-forming toolkit, we implemented a new speech/non-speech detector that does not require models t...
Chuck Wooters, Marijn Huijbregts
Added 07 Jun 2010
Updated 07 Jun 2010
Type Conference
Year 2007
Where CLEAR
Authors Chuck Wooters, Marijn Huijbregts
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