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» Analysis-by-synthesis features for speech recognition
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ISCAS
2003
IEEE
124views Hardware» more  ISCAS 2003»
14 years 2 months ago
Improving the filter bank of a classic speech feature extraction algorithm
The most popular speech feature extractor used in automatic speech recognition (ASR) systems today is the mel frequency cepstral coefficient (mfcc) algorithm. Introduced in 1980,...
Mark D. Skowronski, John G. Harris
ICASSP
2008
IEEE
14 years 4 months ago
Frame-based acoustic feature integration for speech understanding
With the purpose of improving Spoken Language Understanding (SLU) performance, a combination of different acoustic speech recognition (ASR) systems is proposed. State a-posteriori...
Loic Barrault, Christophe Servan, Driss Matrouf, G...
ICASSP
2008
IEEE
14 years 4 months ago
Cepstral domain feature compensation based on diagonal approximation
In this paper, we propose a novel approach to feature compensation performed in the cepstral domain. We apply the linear approximation method in the cepstral domain to simplify th...
Woohyung Lim, Chang Woo Han, Jong Won Shin, Nam So...
INTERSPEECH
2010
13 years 4 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
TSD
2009
Springer
14 years 4 months ago
Transcription of Catalan Broadcast Conversation
The paper describes aspects, methods and results of the development of an automatic transcription system for Catalan broadcast conversation by means of speech recognition. Emphasi...
Henrik Schulz, José A. R. Fonollosa, David ...