Research Article
Speech Synthesis - Automatic Segmentation
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 98 - Issue 4 |
| Published: July 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 },
year = { 2014 },
volume = { 98 },
number = { 4 },
pages = { 29-31 },
doi = { 10.5120/17172-7253 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2014
%A Poonam Bansal
%A Amita Pradhan
%A Ankita Goyal
%A Astha Sharma
%A Mona Arora
%T Speech Synthesis - Automatic Segmentation%T
%J International Journal of Computer Applications
%V 98
%N 4
%P 29-31
%R 10.5120/17172-7253
%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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