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» Adapting acoustic and lexical models to dysarthric speech
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ICASSP
2011
IEEE
9 years 1 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
CSL
2016
Springer
4 years 5 months ago
Articulatory feature based continuous speech recognition using probabilistic lexical modeling
Phonological studies suggest that the typical subword units such as phones or phonemes used in automatic speech recognition systems can be decomposed into a set of features based ...
Ramya Rasipuram, Mathew Magimai-Doss
ICASSP
2009
IEEE
9 years 7 months ago
Applying discretized articulatory knowledge to dysarthric speech
This paper applies two dynamic Bayes networks that include theoretical and measured kinematic features of the vocal tract, respectively, to the task of labeling phoneme sequences ...
Frank Rudzicz
LREC
2008
108views Education» more  LREC 2008»
9 years 10 months ago
The LECTRA Corpus - Classroom Lecture Transcriptions in European Portuguese
This paper describes the corpus of university lectures that has been recorded in European Portuguese, and some of the recognition experiments we have done with it. The highly spec...
Isabel Trancoso, Rui Martins, Helena Moniz, Ana Is...
ICASSP
2008
IEEE
10 years 3 months ago
HMM adaptation using a phase-sensitive acoustic distortion model for environment-robust speech recognition
In this paper, we present a new approach to HMM adaptation that jointly compensates for additive and convolutive acoustic distortion in environment-robust speech recognition. The ...
Jinyu Li, Li Deng, Dong Yu, Yifan Gong, Alex Acero
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