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» Universal background model based speech recognition
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ISCAS
2007
IEEE
136views Hardware» more  ISCAS 2007»
15 years 4 months ago
Flexible Low Power Probability Density Estimation Unit For Speech Recognition
— This paper describes the hardware architecture for a flexible probability density estimation unit to be used in a Large Vocabulary Speech Recognition System, and targeted for m...
Ullas Pazhayaveetil, Dhruba Chandra, Paul Franzon
INTERSPEECH
2010
14 years 4 months ago
Continuous speech recognition with a TF-IDF acoustic model
Information retrieval methods are frequently used for indexing and retrieving spoken documents, and more recently have been proposed for voice-search amongst a pre-defined set of ...
Geoffrey Zweig, Patrick Nguyen, Jasha Droppo, Alex...
ICASSP
2008
IEEE
15 years 4 months ago
Irrelevant variability normalization based HMM training using map estimation of feature transforms for robust speech recognition
In the past several years, we’ve been studying feature transformation (FT) approaches to robust automatic speech recognition (ASR) which can compensate for possible “distortio...
Donglai Zhu, Qiang Huo
ICPR
2006
IEEE
15 years 11 months ago
Nonparametric Background Generation
A novel background generation method based on nonparametric background model is presented for background subtraction. We introduce a new model, named as effect components descript...
Debin Zhao, Hongxun Yao, Wen Gao, Xilin Chen, Yazh...
TASLP
2010
97views more  TASLP 2010»
14 years 4 months ago
Hierarchical Bayesian Language Models for Conversational Speech Recognition
Traditional n-gram language models are widely used in state-of-the-art large vocabulary speech recognition systems. This simple model suffers from some limitations, such as overfi...
Songfang Huang, Steve Renals