Gaussian mixture selection using context-independent HMM

We address a method to efficiently select Gaussian mixtures for fast acoustic likelihood computation. It makes use of context-independent models for selection and back-off of corresponding triphone models. Specifically, for the k-best phone models by the preliminary evaluation, triphone models of hi...

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Bibliographische Detailangaben

Hauptverfasser:	Lee, A., Kawahara, T., Shikano, K.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Computational efficiency Context modeling Costs Decoding Hidden Markov models Large-scale systems Real time systems Speech recognition Vocabulary
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