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Analysis on Syllable-Based Intonational Features of Assamese Speech Signals

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Mathematical and Computational Intelligence to Socio-scientific Analytics and Applications

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 518))

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Abstract

For identifying the emotion from any speech sound, speech analysis is required. Speech sound consists of different kinds of parameters such as fundamental frequency, formant, intensity, duration. The main concept of this speech synthesis system is analysis on syllabification rules which varies all kind of languages and also syllable based intonation analysis. The main concept of this paper is the syllable-based intonation analysis. In this paper, we made some syllable structured Assamese word dataset from recorded emotional speech of both male and female of same age group in Assamese language and to establish the significant consequence of emotions on intonational features such as F0 contour using PRAAT and MATLAB. Experimental outcomes of the analysis significantly show that emotions have effect on pitch level of different types of syllable structured word in both male and female voices dissimilar.

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Correspondence to Somi Kolita .

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Kolita, S., Acharjee, P.B. (2022). Analysis on Syllable-Based Intonational Features of Assamese Speech Signals. In: Srivastava, P., Thivagar, M.L., Oros, G.I., Tan, C.C. (eds) Mathematical and Computational Intelligence to Socio-scientific Analytics and Applications. Lecture Notes in Networks and Systems, vol 518. Springer, Singapore. https://doi.org/10.1007/978-981-19-5181-7_18

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