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Data-Driven Intonation Teaching

An Overview and New Perspectives

Valentina De Iacovo    Università degli Studi di Torino    

Antonio Romano    Università degli Studi di Torino, Italia    

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abstract

Studies on the teaching of intonation are not new. They have actually represented an area of interest since the beginning of the 20th century (Jones 1909; Palmer 1922) up to the latest works by authors following different approaches such as Wells (2006), Canepari (2008), Busà (2012). More recently, there has been growing interest in computer assisted learning (Chun 1998, 2013) and applications in commercial products (Cazade 1999). In this contribution we provide a preliminary study which considers the degree of correlation between the intonation curves of L2 English learners and English native speakers in order to explore variation and to evaluate the potential proximity between different samples. The ultimate goal is to test a set of techniques designed to optimise a computer assisted program for second language intonation learning which have been developed for prosodic variation assessment (Cauvin 2017, De Iacovo 2019).

Published
April 22, 2020
Accepted
Nov. 2, 2019
Submitted
Sept. 2, 2019
Language
EN