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» The limits of speech recognition
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INTERSPEECH
2010
13 years 3 months ago
Robust automatic speech recognition with decoder oriented ideal binary mask estimation
In this paper, we propose a joint optimal method for automatic speech recognition (ASR) and ideal binary mask (IBM) estimation in transformed into the cepstral domain through a ne...
Lae-Hoon Kim, Kyung-Tae Kim, Mark Hasegawa-Johnson
INTERSPEECH
2010
13 years 3 months ago
Boosted mixture learning of Gaussian mixture HMMs for speech recognition
In this paper, we propose a novel boosted mixture learning (BML) framework for Gaussian mixture HMMs in speech recognition. BML is an incremental method to learn mixture models fo...
Jun Du, Yu Hu, Hui Jiang
ICASSP
2011
IEEE
13 years 18 days ago
Robust speech recognition using dynamic noise adaptation
Dynamic noise adaptation (DNA) [1, 2] is a model-based technique for improving automatic speech recognition (ASR) performance in noise. DNA has shown promise on artificially mixe...
Steven J. Rennie, Pierre L. Dognin, Petr Fousek
ICASSP
2011
IEEE
13 years 18 days ago
Maximum likelihood adaptation of histogram equalization with constraint for robust speech recognition
In this paper, we propose a novel feature space adaptation technique to improve the robustness of speech recognition in noisy environments. Histogram equalization (HEQ) is an effe...
Xiong Xiao, Jinyu Li, Engsiong Chng, Haizhou Li
ICASSP
2011
IEEE
13 years 18 days ago
Enriching Mandarin speech recognition by incorporating a hierarchical prosody model
This paper presents a new probabilistic framework of Mandarin speech recognition by incorporating a sophisticated hierarchical prosody model into the conventional HMM-based system...
Jyh-Her Yang, Ming-Chieh Liu, Hao-Hsiang Chang, Ch...