Speech and Phoneme Segmentation Under Noisy Environment Through Spectrogram Image Analysis

被引：0
|
作者：
Costa, D. C. [1 ]
Lopes, G. A. M. [1 ]
Mello, C. A. B. [1 ]
Viana, H. O. [1 ]
机构：
[1] Univ Fed Pernambuco, Ctr Informat, Recife, PE, Brazil
来源：
PROCEEDINGS 2012 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC) | 2012年
关键词：
speech segmentation; phoneme segmentation; spectrogram; image analysis; FEATURES; MODELS;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents a new algorithm for speech segmentation based on image analysis of the spectrogram of the signal. The algorithm works in two loops: the first segments the sound in search for the speech signal. The segmented speech returns to the algorithm for phoneme segmentation. For evaluation, the algorithm was applied to TIMIT speech signals with correct speech segmentation of every tested signal, including signals under real-world noise.
引用
收藏
页码：1017 / 1022
页数：6
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