Automatic speech segmentation based on HMM

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Date
2007
Journal Title
Journal ISSN
Volume Title
Publisher
Technická Univerzita v Liberci
Technical university of Liberec, Czech Republic
Abstract
This contribution deals with the problem of automatic phoneme segmentation using HMMs. Auto-matization of speech segmentation task is important for applications, where large amount of data is needed to process, so manual segmentation is out of the question. In this paper we focus on automatic segmentation of re-cordings, which will be used for triphone synthesis unit database creation. For speech synthesis, the speech unit quality is a crucial aspect, so the maximal accuracy in segmentation is needed here. In this work, different kinds of HMMs with various parameters have been trained and their usefulness for automatic segmentation is discussed. At the end of this work, some segmentation accuracy tests of all models are presented.
Description
Subject(s)
alignment, Automatic segmentation, HMM, Monophones, Speech database, Speech processing, Triphones
Citation
ISSN
1210-2512
ISBN
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