Symbol based concatenation approach for Text to Speech System for Hindi using vowel classification technique

被引:0
|
作者
Chaudhury, Pamela [1 ]
Rao, Madhuri [1 ]
Kumar, KVinod [1 ]
机构
[1] SOA Univ, Bhubaneswar, Orissa, India
关键词
Indian Standard Code for Information Interchange(IISCI); letter to phoneme mapping; schwa deletion; Vowel classification; unit selection;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Indian Languages such as Hindi is phonetic in nature. The Text-To-Speech (TTS) System for Hindi, exploits the phonetic nature of Hindi. The algorithm developed by us involves analysis of a sentence in terms of words and then symbols involving combination of pure consonants and vowel technique. Wave files are being merged as per the requirement to generate the modified consonants influenced by matras, phalas and yuktaksharas generate the speech from a text. Vowels are most important classes of sound in most Indian languages. The duration of vowel is longer than consonants and is most significant. Vowels are categorized as starting middle & end according to the duration of occurrence in a word. Speech unit database consisting of vowels (starting,middle and end)and consonants is developed.
引用
收藏
页码:1081 / +
页数:2
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