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» Adapting acoustic and lexical models to dysarthric speech
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LREC
2008
118views Education» more  LREC 2008»
15 years 1 months ago
Evaluation of several Maximum Likelihood Linear Regression Variants for Language Adaptation
Multilingual Automatic Speech Recognition (ASR) systems are of great interest in multilingual environments. We studied the case of the Comunitat Valenciana where the two official ...
Míriam Luján-Mares, Carlos D. Mart&i...
102
Voted
ICASSP
2011
IEEE
14 years 4 months ago
Acoustic data sharing for Afghan and Persian languages
In this work, we compare several known approaches for multilingual acoustic modeling for three languages, Dari, Farsi and Pashto, which are of recent geo-political interest. We de...
Arindam Mandal, Dimitra Vergyri, Murat Akbacak, Co...
107
Voted
TASLP
2008
124views more  TASLP 2008»
15 years 8 days ago
Joint Dereverberation and Residual Echo Suppression of Speech Signals in Noisy Environments
Hands-free devices are often used in a noisy and reverberant environment. Therefore, the received microphone signal does not only contain the desired near-end speech signal but als...
Emanuel A. P. Habets, Sharon Gannot, Israel Cohen,...
INTERSPEECH
2010
14 years 7 months ago
Speaker and language adaptive training for HMM-based polyglot speech synthesis
This paper proposes a technique for speaker and language adaptive training for HMM-based polyglot speech synthesis. Language-specific context-dependencies in the system are captur...
Heiga Zen
INTERSPEECH
2010
14 years 7 months ago
Synthesis of fast speech with interpolation of adapted HSMMs and its evaluation by blind and sighted listeners
In this paper we evaluate a method for generating synthetic speech at high speaking rates based on the interpolation of hidden semi-Markov models (HSMMs) trained on speech data re...
Michael Pucher, Dietmar Schabus, Junichi Yamagishi