Developing Resources for Te Reo Māori Text To Speech Synthesis System

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dc.contributor.author James, Jesin
dc.contributor.author Shields, Isabella
dc.contributor.author Berriman, Rebekah
dc.contributor.author Keegan, Peter J
dc.contributor.author Watson, Catherine I
dc.date.accessioned 2021-01-13T22:26:57Z
dc.date.available 2021-01-13T22:26:57Z
dc.date.issued 2020-1-1
dc.identifier.citation In: Sojka P., Kopeček I., Pala K., Horák A. (eds) Text, Speech, and Dialogue. TSD 2020. Lecture Notes in Computer Science, vol 12284. Springer, Cham.
dc.identifier.isbn 9783030583224
dc.identifier.issn 0302-9743
dc.identifier.uri https://hdl.handle.net/2292/54228
dc.description.abstract © Springer Nature Switzerland AG 2020. Te reo Māori (the Māori language of New Zealand) is an under-resourced language in terms of availability of speech corpora and resources needed to develop robust speech technology. Māori is an endangered indigenous language which has been subject to revitalisation efforts since the late 1970s, which are well known internationally. The Māori community recognises the need for developing speech technology tools for the language, which will improve its study and usage in wider and more digital contexts. This paper describes the development of speech resources in Māori to build one of the first Text To Speech synthesis system for the language. A speech corpus, extended dictionary and a parametric speech synthesiser are the main contributions of the study. To develop these resources, text processing, segmentation and alignment, letter to sound rules creation were also done with existing resources that were modified to be used for Māori. The acoustic similarity of synthesised speech vs natural speech was measured to evaluate the speech synthesis system statistically. Future work required is described.
dc.publisher Springer International Publishing
dc.relation.ispartofseries Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher.
dc.rights The final authenticated version is available online at http://doi.org/10.1007/978-3-030-58323-1_32
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm
dc.rights.uri https://resource-cms.springernature.com/springer-cms/rest/v1/content/15433008/data/Contract_Book_Contributor_Consent_to_Publish_LNCS_SIP
dc.title Developing Resources for Te Reo Māori Text To Speech Synthesis System
dc.type Conference Item
dc.identifier.doi 10.1007/978-3-030-58323-1_32
pubs.begin-page 294
pubs.volume 12284
dc.date.updated 2020-12-02T08:52:33Z
dc.rights.holder Copyright: Springer Nature Switzerland AG en
pubs.end-page 302
pubs.publication-status Published
dc.rights.accessrights http://purl.org/eprint/accessRights/OpenAccess en
pubs.elements-id 817547
dc.identifier.eissn 1611-3349
pubs.online-publication-date 2020-9-1


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