Automatic intonation classification using temporal patterns in utterance-level pitch contour and perceptually motivated pitch transformation

Yarra, Chiranjeevi and Ghosh, Prasanta Kumar (2018) Automatic intonation classification using temporal patterns in utterance-level pitch contour and perceptually motivated pitch transformation. In: JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 144 (5). EL471-EL476.

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Abstract

Second language learners of British English (BE) are typically trained for four intonation classes: Glide-up, Glide-down, Dive, and Take-off. Automatic four-way intonation classification could be useful to evaluate a learner's pronunciation. However, such automatic classification is challenging without having manually annotated tones, typically considered in intonation analysis and classification tasks. In this, a three-dimensional feature sequence is proposed representing temporal patterns in the utterance-level f0 contour using a perceptually motivated pitch transformation. Hidden Markov model based classification experiments conducted using a training material for teaching BE intonation demonstrate the benefit of the proposed approach over the baseline scheme considered. (C) 2018 Acoustical Society of America.

Item Type:	Journal Article
Publication:	JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA
Publisher:	ACOUSTICAL SOC AMER AMER INST PHYSICS
Additional Information:	Copyright of this article belongs to ACOUSTICAL SOC AMER AMER INST PHYSICS
Department/Centre:	Division of Electrical Sciences > Electrical Engineering
Date Deposited:	28 Jan 2019 10:08
Last Modified:	28 Jan 2019 10:08
URI:	http://eprints.iisc.ac.in/id/eprint/61501

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