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118
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ICASSP
2009
IEEE
15 years 10 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
15 years 10 months ago
Sparse decomposition of mixed audio signals by basis pursuit with autoregressive models
We develop a framework to detect when certain sounds are present in a mixed audio signal. We focus on the regime where out of a large number of possible sounds, a small but unknow...
Youngmin Cho, Lawrence K. Saul
121
Voted
ICASSP
2009
IEEE
15 years 10 months ago
A speech fragment approach to localising multiple speakers in reverberant environments
Sound source localisation cues are severely degraded when multiple acoustic sources are active in the presence of reverberation. We present a binaural system for localising simult...
Heidi Christensen, Ning Ma, Stuart N. Wrigley, Jon...
133
Voted
ICASSP
2009
IEEE
15 years 10 months ago
Detecting bandlimited audio in broadcast television shows
For TV and radio shows containing narrowband speech, Speech-to-text (STT) accuracy on the narrowband audio can be improved by using an acoustic model trained on acoustically match...
Mark C. Fuhs, Qin Jin, Tanja Schultz
ICRA
2009
IEEE
137views Robotics» more  ICRA 2009»
15 years 10 months ago
Continuous vocal imitation with self-organized vowel spaces in Recurrent Neural Network
Abstract— A continuous vocal imitation system was developed using a computational model that explains the process of phoneme acquisition by infants. Human infants perceive speech...
Hisashi Kanda, Tetsuya Ogata, Toru Takahashi, Kazu...