NDLI: Phonetic segmentation using multiple speech features

Content Provider	Springer Nature Link
Author	Mporas, Iosif Ganchev, Todor Fakotakis, Nikos
Copyright Year	2009
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 time-alignment for the prediction of the successor phonetic boundary. The proposed method was evaluated on the TIMIT database, with the exploitation of several, well known in the area of speech processing, Fourier-based and wavelet-based speech parameterization algorithms. The experimental results for the tolerance of 20 milliseconds indicated an improvement of the absolute segmentation accuracy of approximately 0.70%, when compared to the baseline speech segmentation scheme.
Starting Page	73
Ending Page	85
Page Count	13
File Format	PDF
ISSN	13812416
Journal	International Journal of Speech Technology
Volume Number	11
Issue Number	2
e-ISSN	15728110
Language	English
Publisher	Springer US
Publisher Date	2009-08-14
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Speech segmentation Automatic phonetic segmentation Viterbi algorithm Hidden Markov models Artificial Intelligence (incl. Robotics) Social Sciences Signal, Image and Speech Processing
Content Type	Text
Resource Type	Article
Subject	Human-Computer Interaction Computer Vision and Pattern Recognition Software Linguistics and Language

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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