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ICASSP
2011
IEEE
13 years 8 days 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
ISCI
2008
129views more  ISCI 2008»
13 years 8 months ago
Thai spelling analysis for automatic spelling speech recognition
Spelling speech recognition can be applied for several purposes including enhancement of speech recognition systems and implementation of name retrieval systems. This paper presen...
Chutima Pisarn, Thanaruk Theeramunkong
INTERSPEECH
2010
13 years 3 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
CSL
2000
Springer
13 years 8 months ago
Pronunciation modeling by sharing Gaussian densities across phonetic models
Conversational speech exhibits considerable pronunciation variability, which has been shown to have a detrimental effect on the accuracy of automatic speech recognition. There hav...
Murat Saraclar, Harriet J. Nock, Sanjeev Khudanpur
ICMCS
2009
IEEE
159views Multimedia» more  ICMCS 2009»
13 years 6 months ago
Acoustic modeling using an extended phone set considering cross-lingual pronunciation variations
To deal with the issue of data unbalanced condition among a task of multilingual speech recognition and a phenomenon of pronunciation variations across languages, we propose an ap...
Dau-Cheng Lyu, Ren-Yuan Lyu, Ming-Tat Ko