The ICSI-SRI spring 2006 meeting recognition system

Authors:
Adam Janin;Andreas Stolcke;Xavier Anguera;Kofi Boakye;Özgür Çetin;Joe Frankel;Jing Zheng
Affiliations:
International Computer Science Institute, Berkeley, CA;International Computer Science Institute, Berkeley, CA;,International Computer Science Institute, Berkeley, CA;International Computer Science Institute, Berkeley, CA;International Computer Science Institute, Berkeley, CA;International Computer Science Institute, Berkeley, CA;SRI International, Menlo Park, CA
Venue:
MLMI'06 Proceedings of the Third international conference on Machine Learning for Multimodal Interaction
Year:
2006

Citing 4
Cited 4

Investigation of silicon auditory models and generalization of linear discriminant analysis for improved speech recognition

Investigation of silicon auditory models and generalization of linear discriminant analysis for improved speech recognition
Robust speaker segmentation for meetings: the ICSI-SRI spring 2005 diarization system

MLMI'05 Proceedings of the Second international conference on Machine Learning for Multimodal Interaction
Further progress in meeting recognition: the ICSI-SRI spring 2005 speech-to-text evaluation system

MLMI'05 Proceedings of the Second international conference on Machine Learning for Multimodal Interaction
Robust speaker diarization for meetings: ICSI RT06S meetings evaluation system

MLMI'06 Proceedings of the Third international conference on Machine Learning for Multimodal Interaction

The SRI-ICSI Spring 2007 Meeting and Lecture Recognition System

Multimodal Technologies for Perception of Humans
Transfer learning for tandem ASR feature extraction

MLMI'07 Proceedings of the 4th international conference on Machine learning for multimodal interaction
Microphone array beamforming approach to blind speech separation

MLMI'07 Proceedings of the 4th international conference on Machine learning for multimodal interaction
Evaluating multimedia features and fusion for example-based event detection

Machine Vision and Applications

Quantified Score

Hi-index	0.00

Visualization

Abstract

We describe the development of the ICSI-SRI speech recognition system for the National Institute of Standards and Technology (NIST) Spring 2006 Meeting Rich Transcription (RT-06S) evaluation, highlighting improvements made since last year, including improvements to the delay-and-sum algorithm, the nearfield segmenter, language models, posterior-based features, HMM adaptation methods, and adapting to a small amount of new lecture data. Results are reported on RT-05S and RT-06S meeting data. Compared to the RT-05S conference system, we achieved an overall improvement of 4% relative in the MDM and SDM conditions, and 11% relative in the IHM condition. On lecture data, we achieved an overall improvement of 8% relative in the SDM condition, 12% on MDM, 14% on ADM, and 15% on IHM.