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Automatic Speech Recognition Based on Neural Networks Read chapter Read first chapter

2016 | OriginalPaper | Chapter

A Linguistic Interpretation of the Atom Decomposition of Fundamental Frequency Contour for American English

Authors : Tijana Delić, Branislav Gerazov, Branislav Popović, Milan Sečujski

Published in: Speech and Computer

Publisher: Springer International Publishing

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Abstract

One of the most recently proposed techniques for modeling the prosody of an utterance is the decomposition of its pitch, duration and/or energy contour into physiologically motivated units called atoms, based on matching pursuit. Since this model is based on the physiology of the production of sentence intonation, it is essentially language independent. However, the intonation of an utterance in a particular language is obviously under the influence of factors of a predominantly linguistic nature. In this research, restricted to the case of American English with prosody annotated using standard ToBI conventions, we have shown that, under certain mild constraints, the positive and negative atoms identified in the pitch contour coincide very well with high and low pitch accents and phrase accents of ToBI. By giving a linguistic interpretation of the atom decomposition model, this research enables its practical use in domains such as speech synthesis or cross-lingual prosody transfer.

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previous chapter A Deep Neural Networks (DNN) Based Models for a Computer Aided Pronunciation Learning System
next chapter A Phonetic Segmentation Procedure Based on Hidden Markov Models
Footnotes
1
Six recordings from the initial set of 910 recordings were excluded because they contained the ERROR tag where a boundary tone was expected.
 
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Metadata
Title
A Linguistic Interpretation of the Atom Decomposition of Fundamental Frequency Contour for American English
Authors
Tijana Delić
Branislav Gerazov
Branislav Popović
Milan Sečujski
Copyright Year
2016
Book
Speech and Computer

Print ISBN: 978-3-319-43957-0

Electronic ISBN: 978-3-319-43958-7

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-43958-7_6

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