DocumentCode :
1749607
Title :
From broadcast news to spontaneous dialogue transcription: portability issues
Author :
Bertoldi, N. ; Brugnara, E. ; Cettolo, M. ; Federico, M. ; Giuliani, D.
Author_Institution :
ITC-irst, Centro per la Ricerca Scientifica e Tecnologica, Povo di Trento, Italy
Volume :
1
fYear :
2001
fDate :
2001
Firstpage :
37
Abstract :
Reports on experiments of porting the ITC-irst Italian broadcast news recognition system to two spontaneous dialogue domains. The trade-off between performance and the required amount of task specific data was investigated. Porting was experimented by applying supervised adaptation methods to acoustic and language models. By using two hours of manually transcribed speech, word error rates of 26.0% and 28.4% were achieved by the adapted systems. Two reference systems, developed on a larger training corpus, achieved word error rates of 22.6% and 21.2%, respectively
Keywords :
covariance matrices; feature extraction; hidden Markov models; natural languages; speech recognition; statistical analysis; ITC-irst Italian broadcast news recognition system; acoustic models; language models; manually transcribed speech; portability issues; spontaneous dialogue transcription; supervised adaptation methods; task specific data; word error rates; Acoustic measurements; Acoustic testing; Adaptation model; Broadcasting; Costs; Error analysis; Natural languages; Network topology; Speech recognition; Vocabulary;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
Conference_Location :
Salt Lake City, UT
ISSN :
1520-6149
Print_ISBN :
0-7803-7041-4
Type :
conf
DOI :
10.1109/ICASSP.2001.940761
Filename :
940761
Link To Document :
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