DocumentCode
3059127
Title
Duration Analysis for Malayalam Text-To-Speech Systems
Author
Gopinath, Deepa P. ; Divya Sree, J. ; Mathew, Reshmi ; Rekhila, S.J. ; Nair, Achuthsankar S.
Author_Institution
Coll. of Eng., Trivandrum
fYear
2006
fDate
18-21 Dec. 2006
Firstpage
129
Lastpage
132
Abstract
Naturalness can be achieved in a text-to-speech (TTMP) by incorporating prosodic features which include duration of basic units, intonation patterns and stress. This paper presents the preliminary duration analysis required for a speech synthesis system for Malayalam, one among the 17 languages spoken in India. The statistical analysis of the duration of phonemes has yielded results, which can effectively be used for developing a duration model for the language. The durational patterns of vowels and consonants are compared. The study shows that, it is the duration of vowels that get significantly modified and hence duration modelling has to focus primarily on vowels. For vowels, the positional factors have more effect on duration than the contextual factors. The results obtained in this study can simplify a rather complex task of framing rules for duration variation.
Keywords
feature extraction; natural language processing; speech synthesis; statistical analysis; Indian languages spoken; Malayalam text-to-speech system; consonant durational pattern; contextual factors; duration analysis; intonation patterns; intonation stress; phoneme duration; positional factors; prosodic features; statistical analysis; vowel durational pattern; Bioinformatics; Educational institutions; Natural languages; Neural networks; Performance analysis; Predictive models; Speech analysis; Speech synthesis; Statistical analysis; Stress;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology, 2006. ICIT '06. 9th International Conference on
Conference_Location
Bhubaneswar
Print_ISBN
0-7695-2635-7
Type
conf
DOI
10.1109/ICIT.2006.48
Filename
4273170
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