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» MAP-Based Perceptual Modeling for Noisy Speech Recognition
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101
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TASLP
2002
111views more  TASLP 2002»
14 years 9 months ago
Speech enhancement using a mixture-maximum model
We present a spectral domain, speech enhancement algorithm. The new algorithm is based on a mixture model for the short time spectrum of the clean speech signal, and on a maximum a...
David Burshtein, Sharon Gannot
IPCV
2008
14 years 11 months ago
Speech Recognition System of Arabic Digits based on A Telephony Arabic Corpus
- Automatic recognition of spoken digits is one of the difficult tasks in the field of computer speech recognition. Spoken digits recognition process is required in many applicatio...
Yousef Alotaibi, Mansour Al-Ghamdi, Fahad Alotaiby
90
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AIEDU
2006
73views more  AIEDU 2006»
14 years 10 months ago
Using Knowledge Tracing in a Noisy Environment to Measure Student Reading Proficiencies
Constructing a student model for language tutors is a challenging task. This paper describes using knowledge tracing to construct a student model of reading proficiency and validat...
Joseph E. Beck, June Sison
INTERSPEECH
2010
14 years 5 months ago
HMM adaptation using linear spline interpolation with integrated spline parameter training for robust speech recognition
We recently proposed a method for HMM adaptation to noisy environments called Linear Spline Interpolation (LSI). LSI uses linear spline regression to model the relationship betwee...
Michael L. Seltzer, Alex Acero
LREC
2008
81views Education» more  LREC 2008»
14 years 11 months ago
Speech Errors on Frequently Observed Homophones in French: Perceptual Evaluation vs Automatic Classification
The present contribution aims at increasing our understanding of automatic speech recognition (ASR) errors involving frequent homophone or almost homophone words by confronting th...
Rena Nemoto, Ioana Vasilescu, Martine Adda-Decker