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Chuck Wooters
Researcher at International Computer Science Institute
Publications - 75
Citations - 4626
Chuck Wooters is an academic researcher from International Computer Science Institute. The author has contributed to research in topics: Speaker diarisation & Cluster analysis. The author has an hindex of 33, co-authored 75 publications receiving 4438 citations. Previous affiliations of Chuck Wooters include Université de Sherbrooke & DuPont.
Papers
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Proceedings ArticleDOI
The ICSI Meeting Corpus
Adam Janin,Don Baron,Jane A. Edwards,Daniel P. W. Ellis,David Gelbart,Nelson Morgan,Barbara Peskin,Thilo Pfau,Elizabeth Shriberg,Andreas Stolcke,Chuck Wooters +10 more
TL;DR: A corpus of data from natural meetings that occurred at the International Computer Science Institute in Berkeley, California over the last three years is collected, which supports work in automatic speech recognition, noise robustness, dialog modeling, prosody, rich transcription, information retrieval, and more.
Journal ArticleDOI
Acoustic Beamforming for Speaker Diarization of Meetings
TL;DR: The use of classic acoustic beamforming techniques is proposed together with several novel algorithms to create a complete frontend for speaker diarization in the meeting room domain and shows improvements in a speech recognition task.
Patent
General purpose distributed operating room control system
TL;DR: In this article, a run time configurable control system for selecting and operating one of a plurality of operating room devices from a single input source, the system comprising a master controller having a voice control interface and means for routing control signals.
Proceedings ArticleDOI
A robust speaker clustering algorithm
Jitendra Ajmera,Chuck Wooters +1 more
TL;DR: The algorithm automatically performs both speaker segmentation and clustering without any prior knowledge of the identities or the number of speakers and has the following advantages: no threshold adjustment requirements; no need for training/development data; and robustness to different data conditions.
Book ChapterDOI
The ICSI RT07s Speaker Diarization System
Chuck Wooters,Marijn Huijbregts +1 more
TL;DR: The ICSI speaker diarization system as mentioned in this paper automatically performs both speaker segmentation and clustering without any prior knowledge of the identities or the number of speakers, using standard speech processing components and techniques such as HMMs, agglomerative clustering, and the Bayesian Information Criterion.