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» Improving Acoustic Models with Captioned Multimedia Speech
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ICASSP
2011
IEEE
12 years 11 months ago
Maximum likelihood adaptation of histogram equalization with constraint for robust speech recognition
In this paper, we propose a novel feature space adaptation technique to improve the robustness of speech recognition in noisy environments. Histogram equalization (HEQ) is an effe...
Xiong Xiao, Jinyu Li, Engsiong Chng, Haizhou Li
DAGM
2003
Springer
14 years 25 days ago
Improving Children's Speech Recognition by HMM Interpolation with an Adults' Speech Recognizer
In this paper we address the problem of building a good speech recognizer if there is only a small amount of training data available. The acoustic models can be improved by interpo...
Stefan Steidl, Georg Stemmer, Christian Hacker, El...
ICMCS
2009
IEEE
115views Multimedia» more  ICMCS 2009»
13 years 5 months ago
Prosody modeling for mandarin exclamatory speech
To improve the expressiveness of speech synthesis, the paper proposes a model to simulate the prosody features of exclamatory speech with modal tags. While compared with reading s...
Huibin Jia, Jianhua Tao
ICASSP
2011
IEEE
12 years 11 months ago
Adapting acoustic and lexical models to dysarthric speech
Dysarthria is a motor speech disorder resulting from neurological damage to the part of the brain that controls the physical production of speech and is, in part, characterized by...
Kinfe Tadesse Mengistu, Frank Rudzicz
ICASSP
2010
IEEE
13 years 7 months ago
Acoustic model adaptation via Linear Spline Interpolation for robust speech recognition
We recently proposed a new algorithm to perform acoustic model adaptation to noisy environments called Linear Spline Interpolation (LSI). In this method, the nonlinear relationshi...
Michael L. Seltzer, Alex Acero, Kaustubh Kalgaonka...