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» Independent component analysis for noisy speech recognition
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ICMCS
2007
IEEE
177views Multimedia» more  ICMCS 2007»
15 years 3 months ago
Robust Analysis and Weighting on MFCC Components for Speech Recognition and Speaker Identification
Mismatch between training and testing data is a major error source for both Automatic Speech Recognition (ASR) and Automatic Speaker Identification (ASI). In this paper, we first ...
Xi Zhou, Yun Fu, Ming Liu, Mark Hasegawa-Johnson, ...
ICASSP
2011
IEEE
14 years 3 months ago
An analysis of machine translation and speech synthesis in speech-to-speech translation system
This paper provides an analysis of the impacts of machine translation and speech synthesis on speech-to-speech translation systems. The speech-to-speech translation system consist...
Kei Hashimoto, Junichi Yamagishi, William J. Byrne...
ICMCS
2005
IEEE
116views Multimedia» more  ICMCS 2005»
15 years 5 months ago
Speaker Independent Speech Emotion Recognition by Ensemble Classification
Emotion recognition grows to an important factor in future media retrieval and man machine interfaces. However, even human deciders often experience problems realizing one’s emo...
Björn Schuller, Stephan Reiter, Ronald Mü...
ICASSP
2011
IEEE
14 years 3 months ago
On the effect of amr and AMR-WB GSM compression on overlapped speech for forensic analysis
The recent ubiquity of mobile telephony has posed the challenge of forensic speech analysis on compressed speech content. Whilst existing research studies have investigated the ef...
Eva Cheng, Ian S. Burnett
85
Voted
PR
2006
95views more  PR 2006»
14 years 11 months ago
Subspace independent component analysis using vector kurtosis
This discussion presents a new perspective of subspace independent component analysis (ICA). The notion of a function of cumulants (kurtosis) is generalized to vector kurtosis. Th...
Alok Sharma, Kuldip K. Paliwal