2nd International Conference On Systems Engineering and Modeling (ICSEM-13)

The Phoneme Automatic Segmentation Algorithms Study of Tibetan Lhasa Words Continuous Speech Stream

Authors
Jin-xi Zhang, Hong-zhi Yu, Ning Ma, Zhao-yao LI
Corresponding Author
Jin-xi Zhang
Available Online April 2013.
DOI
https://doi.org/10.2991/icsem.2013.114How to use a DOI?
Keywords
Tibetan, Corpus, Phoneme automatic segmentation
Abstract
In this paper, we adopt two methods to voice phoneme segmentation when building Tibetan corpus: One is the traditional artificial segmentation method, one is the automatic segmentation method based on the Mono prime HMM model. And experiments are performed to analyze the accuracy of both methods of segmentations. The results showed: Automatic segmentation method based tone prime HMM model helps to shorten the cycle of building Tibetan corpus, especially in building a large corpus segmentation and labeling a lot of time and manpower cost savings, and have greatly improved the accuracy and consistency of speech corpus annotation information.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2nd International Conference On Systems Engineering and Modeling (ICSEM-13)
Part of series
Advances in Intelligent Systems Research
Publication Date
April 2013
ISBN
978-94-91216-42-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/icsem.2013.114How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Jin-xi Zhang
AU  - Hong-zhi Yu
AU  - Ning Ma
AU  - Zhao-yao LI
PY  - 2013/04
DA  - 2013/04
TI  - The Phoneme Automatic Segmentation Algorithms Study of Tibetan Lhasa Words Continuous Speech Stream
BT  - 2nd International Conference On Systems Engineering and Modeling (ICSEM-13)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/icsem.2013.114
DO  - https://doi.org/10.2991/icsem.2013.114
ID  - Zhang2013/04
ER  -