Investigating The Use Of Syllable Acoustic Units For Amharic Speech Recognition

被引：0

作者：

Dribssa, Adey Edessa ^{[1
]}

Tachbelie, Martha Yifiru ^{[1
]}

机构：

[1] Univ Addis Ababa, Sch Informat Sci, Addis Ababa, Ethiopia

来源：

PROCEEDINGS OF THE 2015 12TH IEEE AFRICON INTERNATIONAL CONFERENCE - GREEN INNOVATION FOR AFRICAN RENAISSANCE (AFRICON) | 2015年

关键词：

Syllable Based ASR; Amharic LVCSR; Longer Length Acoustic Unit;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This study investigated the possibility of developing a large vocabulary continuous speech recognizer (LVCSR) for Amharic using the different syllable types V, CV, VC, CVC, VCC and CVCC found in the language as acoustic units. Syllables as longer length acoustic units are able to embed the spectral and temporal dependencies found in speech and thus able to model it well. The recognizer was developed using the Hidden Markov Model as a modeling technique. The result of the experiments shows that syllables are promising units for Amharic LVCSR provided that enough training data is available.

引用

页数：5

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