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ICASSP
2009
IEEE
14 years 2 months ago
Using collective information in semi-supervised learning for speech recognition
Training accurate acoustic models typically requires a large amount of transcribed data, which can be expensive to obtain. In this paper, we describe a novel semi-supervised learn...
Balakrishnan Varadarajan, Dong Yu, Li Deng, Alex A...
ICASSP
2009
IEEE
14 years 2 months ago
A study on multilingual acoustic modeling for large vocabulary ASR
We study key issues related to multilingual acoustic modeling for automatic speech recognition (ASR) through a series of large-scale ASR experiments. Our study explores shared str...
Hui Lin, Li Deng, Dong Yu, Yifan Gong, Alex Acero,...
ICASSP
2009
IEEE
14 years 2 months ago
A game-theoretic framework for multi-user multimedia rate allocation
How to efficiently and fairly allocate data rate among different users is a key problem in the field of multiuser multimedia communication. However, most of the existing optimiz...
Yan Chen, Beibei Wang, K. J. Ray Liu
ICASSP
2009
IEEE
14 years 2 months ago
The effect of formant trajectories and phoneme durations on vowel intelligibility
We examined how much listeners can benefit from listening to “clear” (CLR) speech compared to “conversational” (CNV) speech, both spoken at different speaking rates. Vowe...
Akiko Amano-Kusumoto, John-Paul Hosom
ICASSP
2009
IEEE
14 years 2 months ago
On the use of Bayesian modeling for predicting noise reduction performance
In speech enhancement applications, a validated metric of noise reduction performance is vital in the relative ranking of noise reduction algorithms and in enhancing the performan...
Nazanin Pourmand, David Suelzle, Vijay Parsa, Yi H...