Hierarchical Representation and Estimation of Prosody using Continuous Wavelet Transform

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Suni , A , Simko , J , Aalto , D & Vainio , M 2017 , ' Hierarchical Representation and Estimation of Prosody using Continuous Wavelet Transform ' , Computer Speech and Language , vol. 45 , pp. 123-136 . https://doi.org/10.1016/j.csl.2016.11.001

Title: Hierarchical Representation and Estimation of Prosody using Continuous Wavelet Transform
Author: Suni, Antti; Simko, Juraj; Aalto, Daniel; Vainio, Martti
Contributor: University of Helsinki, Department of Modern Languages 2010-2017
University of Helsinki, Department of Modern Languages 2010-2017
University of Helsinki, University of Alberta
University of Helsinki, Department of Modern Languages 2010-2017
Date: 2017-09
Language: eng
Number of pages: 14
Belongs to series: Computer Speech and Language
ISSN: 0885-2308
URI: http://hdl.handle.net/10138/309189
Abstract: Prominences and boundaries are the essential constituents of prosodic struc- ture in speech. They provide for means to chunk the speech stream into linguis- tically relevant units by providing them with relative saliences and demarcating them within utterance structures. Prominences and boundaries have both been widely used in both basic research on prosody as well as in text-to-speech syn- thesis. However, there are no representation schemes that would provide for both estimating and modelling them in a unified fashion. Here we present an unsupervised unified account for estimating and representing prosodic promi- nences and boundaries using a scale-space analysis based on continuous wavelet transform. The methods are evaluated and compared to earlier work using the Boston University Radio News corpus. The results show that the proposed method is comparable with the best published supervised annotation methods.
Subject: 6161 Phonetics
prosody
speech synthesis
wavelets
PHONETICS
PROMINENCE
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