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» Improving Children's Speech Recognition by HMM Interpolation...
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DAGM
2003
Springer
9 years 9 months 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...
INTERSPEECH
2010
8 years 10 months ago
HMM adaptation using linear spline interpolation with integrated spline parameter training for robust speech recognition
We recently proposed a method for HMM adaptation to noisy environments called Linear Spline Interpolation (LSI). LSI uses linear spline regression to model the relationship betwee...
Michael L. Seltzer, Alex Acero
TSD
2004
Springer
9 years 9 months ago
Automatic Recognition and Evaluation of Tracheoesophageal Speech
Tracheoesophageal (TE) speech is a possibility to restore the ability to speak after laryngectomy, i.e. the removal of the larynx. TE speech often shows low audibility and intellig...
Tino Haderlein, Stefan Steidl, Elmar Nöth, Fr...
IFIP
2004
Springer
9 years 9 months ago
Isolated Word Recognition for English Language Using LPC, VQ and HMM
: Speech recognition is always looked upon as a fascinating field in human computer interaction. It is one of the fundamental steps towards understanding human cognition and their ...
Mayukh Bhaowal, Kunal Chawla
IJCNN
2006
IEEE
9 years 9 months ago
Reservoir-based techniques for speech recognition
— A solution for the slow convergence of most learning rules for Recurrent Neural Networks (RNN) has been proposed under the terms Liquid State Machines (LSM) and Echo State Netw...
David Verstraeten, Benjamin Schrauwen, Dirk Stroob...
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