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» The limits of speech recognition
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SEMCO
2007
IEEE
14 years 3 months ago
Large-Margin Discriminative Training of Hidden Markov Models for Speech Recognition
Discriminative training has been a leading factor for improving automatic speech recognition (ASR) performance over the last decade. The traditional discriminative training, howev...
Dong Yu, Li Deng
ASSETS
2006
ACM
14 years 2 months ago
Non-speech input and speech recognition for real-time control of computer games
This paper reports a comparison of user performance (time and accuracy) when controlling a popular arcade game of Tetris using speech recognition or non-speech (humming) input tec...
Adam J. Sporka, Sri Hastuti Kurniawan, Murni Mahmu...
ICMCS
2007
IEEE
177views Multimedia» more  ICMCS 2007»
14 years 21 days ago
Robust Analysis and Weighting on MFCC Components for Speech Recognition and Speaker Identification
Mismatch between training and testing data is a major error source for both Automatic Speech Recognition (ASR) and Automatic Speaker Identification (ASI). In this paper, we first ...
Xi Zhou, Yun Fu, Ming Liu, Mark Hasegawa-Johnson, ...
NAACL
1994
13 years 10 months ago
Speech Recognition Using a Stochastic Language Model Integrating Local and Global Constraints
In this paper, we propose a new stochastic language model that integrates local and global constraints effectively and describe a speechrecognition system basedon it. Theproposedl...
Ryosuke Isotani, Shoichi Matsunaga
TASLP
2002
93views more  TASLP 2002»
13 years 8 months ago
Robust endpoint detection and energy normalization for real-time speech and speaker recognition
When automatic speech recognition (ASR) and speaker verification (SV) are applied in adverse acoustic environments, endpoint detection and energy normalization can be crucial to th...
Qi Li, Jinsong Zheng, A. Tsai, Qiru Zhou