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Reseach Article

Speech Synthesis - Automatic Segmentation

by Poonam Bansal, Amita Pradhan, Ankita Goyal, Astha Sharma, Mona Arora
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 98 - Number 4
Year of Publication: 2014
Authors: Poonam Bansal, Amita Pradhan, Ankita Goyal, Astha Sharma, Mona Arora
10.5120/17172-7253

Poonam Bansal, Amita Pradhan, Ankita Goyal, Astha Sharma, Mona Arora . Speech Synthesis - Automatic Segmentation. International Journal of Computer Applications. 98, 4 ( July 2014), 29-31. DOI=10.5120/17172-7253

@article{ 10.5120/17172-7253,
author = { Poonam Bansal, Amita Pradhan, Ankita Goyal, Astha Sharma, Mona Arora },
title = { Speech Synthesis - Automatic Segmentation },
journal = { International Journal of Computer Applications },
issue_date = { July 2014 },
volume = { 98 },
number = { 4 },
month = { July },
year = { 2014 },
issn = { 0975-8887 },
pages = { 29-31 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume98/number4/17172-7253/ },
doi = { 10.5120/17172-7253 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:25:20.010611+05:30
%A Poonam Bansal
%A Amita Pradhan
%A Ankita Goyal
%A Astha Sharma
%A Mona Arora
%T Speech Synthesis - Automatic Segmentation
%J International Journal of Computer Applications
%@ 0975-8887
%V 98
%N 4
%P 29-31
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, after an a review of the previous work done in this field, the most frequently used approach using Hidden Markov Model (HMM) is used for implementation for phonetic segmentation. A baseline HMM phonetic segmentation tool is used for segmentation and analysis of speech at phonetic level. The results are approximately same as obtained using manual segmentation.

References
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Index Terms

Computer Science
Information Sciences

Keywords

HMM HTK Phonetic Segmentation MFCC Speech Synthesis Viterbi