Original paper
Phonetic segmentation using multiple speech features
Volume: 11, Issue: 2, Pages: 73 - 85
Published: Jun 1, 2008
Abstract
In this paper we propose a method for improving the performance of the segmentation of speech waveforms to phonetic units. The proposed method is based on the well known Viterbi time-alignment algorithm and utilizes the phonetic boundary predictions from multiple speech parameterization techniques. Specifically, we utilize the most appropriate, with respect to boundary type, phone transition position prediction as initial point to start Viterbi...
Paper Details
Title
Phonetic segmentation using multiple speech features
Published Date
Jun 1, 2008
Volume
11
Issue
2
Pages
73 - 85
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