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» The limits of speech recognition
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ACSC
2006
IEEE
15 years 7 months ago
On compensating the Mel-frequency cepstral coefficients for noisy speech recognition
This paper describes a novel noise-robust automatic speech recognition (ASR) front-end that employs a combination of Mel-filterbank output compensation and cumulative distribution...
Eric H. C. Choi
ICASSP
2011
IEEE
14 years 5 months ago
Automatic speech recognition using Hidden Conditional Neural Fields
Hidden Conditional Random Fields(HCRF) is a very promising approach to model speech. However, because HCRF computes the score of a hypothesis by summing up linearly weighted featu...
Yasuhisa Fujii, Kazumasa Yamamoto, Seiichi Nakagaw...
ICASSP
2011
IEEE
14 years 5 months ago
Real-time voice conversion based on instantaneous harmonic parameters
The paper presents a voice conversion framework that can be used in real-time applications. The conversion technique is based on hybrid (deterministic/stochastic) parametric speec...
Elias Azarov, Alexander A. Petrovsky
LREC
2008
105views Education» more  LREC 2008»
15 years 3 months ago
Linguistic Resources for Reconstructing Spontaneous Speech Text
The output of a speech recognition system is not always ideal for subsequent downstream processing, in part because speakers themselves often make mistakes. A system would accompl...
Erin Fitzgerald, Frederick Jelinek
CSL
2002
Springer
15 years 1 months ago
Weighted finite-state transducers in speech recognition
We survey the use of weighted finite-state transducers (WFSTs) in speech recognition. We show that WFSTs provide a common and natural representation for HMM models, context-depend...
Mehryar Mohri, Fernando Pereira, Michael Riley