DocumentCode
3220467
Title
Symbol based concatenation approach for Text to Speech System for Hindi using vowel classification technique
Author
Chaudhury, Pamela ; Rao, Madhuri ; Kumar, K. Vinod
Author_Institution
SOA Univ., Bhubaneswar, India
fYear
2009
fDate
9-11 Dec. 2009
Firstpage
1082
Lastpage
1087
Abstract
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.
Keywords
linguistics; natural language processing; speech synthesis; text analysis; Hindi; Indian languages; matras; phalas; pure consonant technique; speech unit database; symbol based concatenation approach; text to speech system; vowel classification technique; vowel technique; wave files; yuktaksharas; Algorithm design and analysis; Code standards; Databases; Natural languages; Semiconductor optical amplifiers; Speech processing; Speech synthesis; Synthesizers; Text processing; Writing; Indian Standard Code for Information Interchange(IISCI); Vowel classification; letter to phoneme mapping; schwa deletion; unit selection;
fLanguage
English
Publisher
ieee
Conference_Titel
Nature & Biologically Inspired Computing, 2009. NaBIC 2009. World Congress on
Conference_Location
Coimbatore
Print_ISBN
978-1-4244-5053-4
Type
conf
DOI
10.1109/NABIC.2009.5393868
Filename
5393868
Link To Document