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» Emotion recognition using imperfect speech recognition
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ICML
2008
IEEE
15 years 10 months ago
Modified MMI/MPE: a direct evaluation of the margin in speech recognition
In this paper we show how common speech recognition training criteria such as the Minimum Phone Error criterion or the Maximum Mutual Information criterion can be extended to inco...
Georg Heigold, Hermann Ney, Ralf Schlüter, Th...
ICPR
2006
IEEE
15 years 11 months ago
Switching Auxiliary Chains for Speech Recognition based on Dynamic Bayesian Networks
This paper investigates the problem of incorporating auxiliary information (e.g. pitch) for speech recognition using dynamic Bayesian networks (DBNs). Previous works usually model...
Hui Lin 0001, Zhijian Ou
ICMCS
2006
IEEE
112views Multimedia» more  ICMCS 2006»
15 years 3 months ago
Minimum Phoneme Error based Filter Bank Analysis for Speech Recognition
In this paper the optimal filter-bank design method based on the Minimum Phone Error (MPE) criteria is investigated. We use Gaussian type filter bank for optimization and variou...
Hao Huang, Jie Zhu
ICASSP
2010
IEEE
14 years 10 months ago
A kernel mean matching approach for environment mismatch compensation in speech recognition
The mismatch between training and test environmental conditions presents a challenge to speech recognition systems. In this paper, we investigate an approach for matching the dist...
Abhishek Kumar, John H. L. Hansen
INTERSPEECH
2010
14 years 4 months ago
Canonical state models for automatic speech recognition
Current speech recognition systems are often based on HMMs with state-clustered Gaussian Mixture Models (GMMs) to represent the context dependent output distributions. Though high...
Mark J. F. Gales, Kai Yu