DocumentCode
2082953
Title
LSF and LPC - derived features for Large Vocabulary Distributed Continuous Speech Recognition in Brazilian Portuguese
Author
Alencar, V.F.S. ; Alcaim, A.
Author_Institution
CETUC, PUC/RIO, Rio de Janeiro
fYear
2008
fDate
26-29 Oct. 2008
Firstpage
1237
Lastpage
1241
Abstract
In this paper, we describe several important experiments concerning large vocabulary distributed continuous speech recognition (LVDCSR) systems in Brazilian Portuguese using LSF and LPC - derived features. The ITU-T G.723.1 codec is employed and investigated as a case of practical use of this technology. Results are presented for both speaker dependent and independent modes as well as the situations where the same text or different texts were used for training and testing.
Keywords
natural languages; speech recognition; Brazilian Portuguese; large vocabulary distributed continuous speech recognition; speaker dependent modes; speaker independent modes; Automatic speech recognition; Codecs; Decoding; Feature extraction; IP networks; Interpolation; Linear predictive coding; Speech coding; Speech recognition; Vocabulary;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems and Computers, 2008 42nd Asilomar Conference on
Conference_Location
Pacific Grove, CA
ISSN
1058-6393
Print_ISBN
978-1-4244-2940-0
Electronic_ISBN
1058-6393
Type
conf
DOI
10.1109/ACSSC.2008.5074614
Filename
5074614
Link To Document