DocumentCode :
2023058
Title :
Large vocabulary continuous speech recognition of Wall Street Journal data
Author :
Roth, Robert ; Baker, James ; Baker, James ; Gillick, L. ; Hunt, Melvyn ; Ito, Yoshiko ; Lowe, Stephen ; Orloff, Jeremy ; Peskin, Barbara ; Scattone, Francesco
Author_Institution :
Dragon Systems Inc., Newton, MA, USA
Volume :
2
fYear :
1993
fDate :
27-30 April 1993
Firstpage :
640
Abstract :
The authors report on the progress that has been made at Dragon Systems in speaker-independent large-vocabulary speech recognition using speech from DARPA´s Wall Street Journal corpus. First they present an overview of the recognition and training algorithms. Then, they describe experiments involving two improvements to these algorithms, moving to higher-dimensional streams and using an IMELDA transformation. They also present some results showing the reduction in error rates.<>
Keywords :
learning (artificial intelligence); speech recognition; vocabulary; IMELDA transformation; Wall Street Journal; continuous speech recognition; error rates; higher-dimensional streams; speaker-independent large-vocabulary speech recognition; training;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1993. ICASSP-93., 1993 IEEE International Conference on
Conference_Location :
Minneapolis, MN, USA
ISSN :
1520-6149
Print_ISBN :
0-7803-7402-9
Type :
conf
DOI :
10.1109/ICASSP.1993.319391
Filename :
319391
Link To Document :
بازگشت