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» Towards Lower Error Rates in Phoneme Recognition
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ICASSP
2008
IEEE
14 years 5 days ago
Unsupervised optimal phoneme segmentation: Objectives, algorithm and comparisons
Phoneme segmentation is a fundamental problem in many speech recognition and synthesis studies. Unsupervised phoneme segmentation assumes no knowledge on linguistic contents and a...
Yu Qiao, Naoya Shimomura, Nobuaki Minematsu
LREC
2008
145views Education» more  LREC 2008»
13 years 7 months ago
Borrowing Language Resources for Development of Automatic Speech Recognition for Low- and Middle-Density Languages
In this paper we describe an approach that both creates crosslingual acoustic monophone model sets for speech recognition tasks and objectively predicts their performance without ...
Lynette Melnar, Chen Liu
ICASSP
2011
IEEE
12 years 9 months ago
Localization of non-linguistic events in spontaneous speech by Non-Negative Matrix Factorization and Long Short-Term Memory
Features generated by Non-Negative Matrix Factorization (NMF) have successfully been introduced into robust speech processing, including noise-robust speech recognition and detect...
Felix Weninger, Björn Schuller, Martin Wö...
ICASSP
2009
IEEE
13 years 3 months ago
A new method for speaker adaptation using bilinear model
In this paper, a novel method for speaker adaptation using bilinear model is proposed. Bilinear model can express both characteristics of speakers (style) and phonemes across spea...
Hwa Jeon Song, Yongwon Jeong, Hyung Soon Kim
PR
2010
147views more  PR 2010»
13 years 4 months ago
Minimum classification error learning for sequential data in the wavelet domain
Wavelet analysis has found widespread use in signal processing and many classification tasks. Nevertheless, its use in dynamic pattern recognition have been much more restricted ...
D. Tomassi, Diego H. Milone, L. Forzani