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2003
Springer

Improving Children's Speech Recognition by HMM Interpolation with an Adults' Speech Recognizer

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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 interpolation with the well-trained models of a second recognizer from a different application scenario. In our case, we interpolate a children’s speech recognizer with a recognizer for adults’ speech. Each hidden Markov model has its own set of interpolation partners; experiments were conducted with up to 50 partners. The interpolation weights are estimated automatically on a validation set using the EM algorithm. The word accuracy of the chil
Stefan Steidl, Georg Stemmer, Christian Hacker, El
Added 06 Jul 2010
Updated 06 Jul 2010
Type Conference
Year 2003
Where DAGM
Authors Stefan Steidl, Georg Stemmer, Christian Hacker, Elmar Nöth, Heinrich Niemann
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