Sciweavers

2047 search results - page 67 / 410
» The limits of speech recognition
Sort
View
ACSC
2006
IEEE
14 years 2 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
13 years 14 days 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
13 years 14 days 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»
13 years 10 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
13 years 8 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