DocumentCode :
337477
Title :
Rapid speech recognizer adaptation to new speakers
Author :
Digalakis, Vassilis ; Collier, Heather ; Berkowitz, Sid ; Corduneanu, Adrian ; Bocchieri, Enrico ; Kannan, Ashvin ; Boulis, Costas ; Khudanpur, Sanjeev ; Byrne, William ; Sankar, Ananth
Author_Institution :
Tech. Univ. of Crete, Chania, Greece
Volume :
2
fYear :
1999
fDate :
15-19 Mar 1999
Firstpage :
765
Abstract :
This paper summarizes the work of the “Rapid Speech Recognizer Adaptation” team in the workshop held at Johns Hopkins University in the summer of 1998. The project addressed the modeling of dependencies between units of speech with the goal of making more effective use of small amounts of data for speaker adaptation. A variety of methods were investigated and their effectiveness in a rapid adaptation task defined on the Switchboard conversational speech corpus is reported
Keywords :
adaptive signal processing; hidden Markov models; parameter estimation; speech processing; speech recognition; HMM; Johns Hopkins University; Switchboard conversational speech corpus; constrained estimation; dependencies modeling; hidden Markov models; new speakers; speaker adaptation data; speech recognizer adaptation; speech units; transform matrices; Acoustic noise; Auditory system; Gaussian processes; Hidden Markov models; Humans; Loudspeakers; Markov random fields; Maximum likelihood estimation; Maximum likelihood linear regression; Speech recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
Conference_Location :
Phoenix, AZ
ISSN :
1520-6149
Print_ISBN :
0-7803-5041-3
Type :
conf
DOI :
10.1109/ICASSP.1999.759781
Filename :
759781
Link To Document :
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