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ICASSP
2011
IEEE
14 years 3 months ago
Multi-view and multi-objective semi-supervised learning for large vocabulary continuous speech recognition
Current hidden Markov acoustic modeling for large vocabulary continuous speech recognition (LVCSR) relies on the availability of abundant labeled transcriptions. Given that speech...
Xiaodong Cui, Jing Huang, Jen-Tzung Chien
ICASSP
2011
IEEE
14 years 3 months 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
14 years 3 months ago
Accurate transcription of broadcast news speech using multiple noisy transcribers and unsupervised reliability metrics
Professional manual transcription of speech is an expensive and time consuming process. This paper focuses on the problem of combining noisy transcriptions from multiple non-exper...
Kartik Audhkhasi, Panayiotis G. Georgiou, Shrikant...
ICASSP
2011
IEEE
14 years 3 months 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
14 years 3 months 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...