کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
558399 874918 2009 17 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Intonation modeling for Indian languages
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر پردازش سیگنال
پیش نمایش صفحه اول مقاله
Intonation modeling for Indian languages
چکیده انگلیسی

In this paper we propose models for predicting the intonation for the sequence of syllables present in the utterance. The term intonation refers to the temporal changes of the fundamental frequency (F0)(F0). Neural networks are used to capture the implicit intonation knowledge in the sequence of syllables of an utterance. We focus on the development of intonation models for predicting the sequence of fundamental frequency values for a given sequence of syllables. Labeled broadcast news data in the languages Hindi, Telugu and Tamil is used to develop neural network models in order to predict the F0F0 of syllables in these languages. The input to the neural network consists of a feature vector representing the positional, contextual and phonological constraints. The interaction between duration and intonation constraints can be exploited for improving the accuracy further. From the studies we find that 88% of the F0F0 values (pitch) of the syllables could be predicted from the models within 15% of the actual F0F0. The performance of the intonation models is evaluated using objective measures such as average prediction error (μ)(μ), standard deviation (σ)(σ) and correlation coefficient (γ)(γ). The prediction accuracy of the intonation models is further evaluated using listening tests. The prediction performance of the proposed intonation models using neural networks is compared with Classification and Regression Tree (CART) models.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computer Speech & Language - Volume 23, Issue 2, April 2009, Pages 240–256
نویسندگان
, ,