8th International Conference on Spoken Language Processing

Jeju Island, Korea
October 4-8, 2004

Intonation Modeling for Indian Languages

Krothapalli Sreenivasa Rao, Bayya Yegnanarayana

Indian Institute of Technology Madras, India

In this paper we study neural network models to capture intonation patterns of speech in Indian languages. We examine the performance of neural networks and support vector machines (SVM) for this purpose. Modeling the intonation pattern is the task of predicting the sequence of fundamental frequency (f0) values for the sequence of syllables in the given text. Analysis is performed on broadcast news data in the languages Hindi, Telugu and Tamil, in order to predict the 'f0' of syllables in these languages using neural network and SVM models. The input to both the models consists of a set of phonological, positional and contextual features extracted from the text.

Full Paper

Bibliographic reference.  Sreenivasa Rao, Krothapalli / Yegnanarayana, Bayya (2004): "Intonation modeling for indian languages", In INTERSPEECH-2004, 733-736.