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» Efficient Gaussian Mixture for Speech Recognition
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CSL
2000
Springer
13 years 7 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
ICPR
2006
IEEE
14 years 1 months ago
Efficient Night Gait Recognition Based on Template Matching
Gait is a useful biometric which can be used to recognize people at a distance when other biometrics are incapable. However, most work on gait recognition has been visible spectru...
Daoliang Tan, Kaiqi Huang, Shiqi Yu, Tieniu Tan
ISCAS
2007
IEEE
136views Hardware» more  ISCAS 2007»
14 years 1 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
ICPR
2010
IEEE
13 years 5 months ago
Use of Line Spectral Frequencies for Emotion Recognition from Speech
We propose the use of the line spectral frequency (LSF) features for emotion recognition from speech, which have not been been previously employed for emotion recognition to the b...
Elif Bozkurt, Engin Erzin, Çigdem Eroglu Er...
ICASSP
2011
IEEE
12 years 11 months ago
An investigation of subspace modeling for phonetic and speaker variability in automatic speech recognition
This paper investigates the impact of subspace based techniques for acoustic modeling in automatic speech recognition (ASR). There are many well known approaches to subspace based...
Richard C. Rose, Shou-Chun Yin, Yun Tang