DocumentCode
431243
Title
DBN-Based Multi-stream Models for Mandarin Toneme Recognition
Author
Lei, Xin ; Ji, Gang ; Ng, Tim ; Bilmes, Jeff ; Ostendorf, Mari
Author_Institution
Dept. of Electr. Eng., Univ. of Washington, Seattle, WA, USA
Volume
1
fYear
2005
fDate
March 18-23, 2005
Firstpage
349
Lastpage
352
Keywords
belief networks; cepstral analysis; feature extraction; hidden Markov models; speech processing; speech recognition; DBN-based multi-stream models; Graphical Model Toolkit; HMM; MFCC; Mandarin Chinese; Mandarin toneme recognition; asynchronous multi-stream systems; base phone; concatenated features; dynamic Bayesian networks; pitch features; recognition systems; stream-level model parameter tying; synchronous multi-stream systems; tonal phone; tones; Bayesian methods; Cepstral analysis; Concatenated codes; Decoding; Graphical models; Hidden Markov models; Mel frequency cepstral coefficient; Natural languages; Random variables; Speech recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
ISSN
1520-6149
Print_ISBN
0-7803-8874-7
Type
conf
DOI
10.1109/ICASSP.2005.1415122
Filename
1415122
Link To Document