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» Analysis-by-synthesis features for speech recognition
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ICPR
2010
IEEE
13 years 7 months ago
Learning Virtual HD Model for Bi-model Emotional Speaker Recognition
Pitch mismatch between training and testing is one of the important factors causing the performance degradation of the speaker recognition system. In this paper, we adopted the mis...
Ting Huang, Yingchun Yang
CIKM
2001
Springer
14 years 2 months ago
Automatic Discovery of Salient Segments in Imperfect Speech Transcripts
This paper addresses the problem of automatic detection of salient video segments for real-world applications such as corporate training based on associated speech transcriptions....
Dulce B. Ponceleon, Savitha Srinivasan
ICASSP
2009
IEEE
14 years 4 months ago
Lattice-based MLLR for speaker recognition
Maximum-Likelihod Linear Regression (MLLR) transform coefficients have shown to be useful features for text-independent speaker recognition systems. These use MLLR coefficients ...
Marc Ferras, Claude Barras, Jean-Luc Gauvain
ICASSP
2011
IEEE
13 years 1 months ago
Feature normalization for speaker verification in room reverberation
The performance of a typical speaker verification system degrades significantly in reverberant environments. This degradation is partly due to the conventional feature extractio...
Sriram Ganapathy, Jason W. Pelecanos, Mohamed Kama...
CVPR
2011
IEEE
13 years 5 months ago
Modeling Human Activities as Speech
Human activity recognition and speech recognition appear to be two loosely related research areas. However, on a careful thought, there are several analogies between activity and ...
Chia-Chih Chen, Jake Aggarwal