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» Adapting acoustic and lexical models to dysarthric speech
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ICMI
2005
Springer
136views Biometrics» more  ICMI 2005»
13 years 9 months ago
Probabilistic grounding of situated speech using plan recognition and reference resolution
Situated, spontaneous speech may be ambiguous along acoustic, lexical, grammatical and semantic dimensions. To understand such a seemingly difficult signal, we propose to model th...
Peter Gorniak, Deb Roy
ICASSP
2009
IEEE
13 years 11 months ago
A study on multilingual acoustic modeling for large vocabulary ASR
We study key issues related to multilingual acoustic modeling for automatic speech recognition (ASR) through a series of large-scale ASR experiments. Our study explores shared str...
Hui Lin, Li Deng, Dong Yu, Yifan Gong, Alex Acero,...
ACL
2004
13 years 5 months ago
Head-Driven Parsing for Word Lattices
We present the first application of the head-driven statistical parsing model of Collins (1999) as a simultaneous language model and parser for largevocabulary speech recognition....
Christopher Collins, Bob Carpenter, Gerald Penn
ICASSP
2009
IEEE
13 years 11 months ago
The effectiveness of histogram equalization on environmental model adaptation
In this paper, we introduce a new histogram equalizationbased environmental model adaptation method for robust speech recognition in noise environments. The proposed method adapts...
Youngjoo Suh, Hoirin Kim
ICASSP
2011
IEEE
12 years 8 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