Investigation of silicon auditory models and generalization of linear discriminant analysis for improved speech recognition
NAACL-Short '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology: companion volume of the Proceedings of HLT-NAACL 2003--short papers - Volume 2
Maximum likelihood discriminant feature spaces
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 02
Speaker separation and tracking system
EURASIP Journal on Applied Signal Processing
Speaker Diarization For Multiple-Distant-Microphone Meetings Using Several Sources of Information
IEEE Transactions on Computers
Speaker diarization for multi-microphone meetings using only between-channel differences
MLMI'06 Proceedings of the Third international conference on Machine Learning for Multimodal Interaction
| Hi-index | 0.00 |
The paper describes our system devised for recognizing speech in meetings, which was an entry in the NIST Spring 2004 Meeting Recognition Evaluation. This system was developed as a collaborative effort between ICSI, SRI, and UW and was based on SRI's 5xRT Conversational Telephone Speech (CTS) recognizer. The CTS system was adapted to the Meetings domain by adapting the CTS acoustic and language models to the Meeting domain, adding noise reduction and delay-sum array processing for far-field recognition, and adding postprocessing for cross-talk suppression for close-talking microphones. A modified MAP adaptation procedure was developed to make best use of discriminatively trained (MMIE) prior models. These meeting-specific changes yielded an overall 9% and 22% relative improvement as compared to the original CTS system, and 16% and 29% relative improvement as compared to our 2002 Meeting Evaluation system, for the individual-headset and multiple-distant microphones conditions, respectively.