Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.641194
Title: Automatic prosodic analysis for computer aided pronunciation teaching
Author: Bagshaw, Paul Christopher
Awarding Body: University of Edinburgh
Current Institution: University of Edinburgh
Date of Award: 1994
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Abstract:
Correct pronunciation of spoken language requires the appropriate modulation of acoustic characteristics of speech to convey linguistic information at a suprasegmental level. Such prosodic modulation is a key aspect of spoken language and is an important component of foreign language learning, for purposes of both comprehension and intelligibility. Computer aided pronunciation teaching involves automatic analysis of the speech of a non-native talker in order to provide a diagnosis of the learner's performance in comparison with the speech of a native talker. This thesis describes research undertaken to automatically analyse the prosodic aspects of speech for computer aided pronunciation teaching. It is necessary to describe the suprasegmental composition of a learner's speech in order to characterise significant deviations from a native-like prosody, and to offer some kind of corrective diagnosis. Phonological theories of prosody aim to describe the suprasegmental composition of speech for a specific language. It is argued here that the suprasegmental composition of the speech of a non-native talker can be highly influenced by mother-tongue interference thereby rendering a language-specific phonological representation of prosody inappropriate. Moreover, languages vary in the way acoustic characteristics of speech are modified to manifest prosodic aspects of speech and the only secure means available to describe prosody for foreign language teaching therefore lies at an acoustic-phonetic representation. The automatic prosodic analysis of speech presented in this thesis aims to provide such an acoustic-phonetic representation. The prosodic aspects of speech are described in a syllabic domain which is synchronised with a phonetic segmentation. An algorithm is presented which groups acoustic-phonetic segments into syllabic units.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.641194  DOI: Not available
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