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» Speech Enhancement Using Gaussian Scale Mixture Models
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ICPR
2006
IEEE
14 years 5 months ago
Mixture of Support Vector Machines for HMM based Speech Recognition
Speech recognition is usually based on Hidden Markov Models (HMMs), which represent the temporal dynamics of speech very efficiently, and Gaussian mixture models, which do non-opt...
Sven E. Krüger, Martin Schafföner, Marce...
IEICET
2010
100views more  IEICET 2010»
13 years 2 months ago
Esophageal Speech Enhancement Based on Statistical Voice Conversion with Gaussian Mixture Models
Hironori Doi, Keigo Nakamura, Tomoki Toda, Hiroshi...
TASLP
2010
101views more  TASLP 2010»
12 years 11 months ago
Gaussian Model-Based Multichannel Speech Presence Probability
The knowledge of the target speech presence probability in a mixture of signals captured by a speech communication system is of paramount importance in several applications includi...
Mehrez Souden, Jingdong Chen, Jacob Benesty, Sofi&...
TASLP
2008
101views more  TASLP 2008»
13 years 4 months ago
Speaker Identification Using Instantaneous Frequencies
This work presents an experimental evaluation of different features for use in speaker identification. The features are tested using speech data provided by the CHAINS corpus, in a...
Marco Grimaldi, Fred Cummins
ICASSP
2011
IEEE
12 years 8 months ago
Gaussian Mixture Modeling of vowel durations for automated assessment of non-native speech
This paper investigates using Gaussian Mixture Model (GMM) based vowel duration features for automated assessment of non-native speech. Two different types of models were compared...
Xie Sun, Keelan Evanini