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DC Field | Value | Language |
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dc.contributor.author | Mena, Carlos | - |
dc.contributor.author | Gatt, Albert | - |
dc.contributor.author | DeMarco, Andrea | - |
dc.contributor.author | Borg, Claudia | - |
dc.contributor.author | Van der Plas, Lonneke | - |
dc.contributor.author | Muscat, Amanda | - |
dc.contributor.author | Padovani, Ian | - |
dc.date.accessioned | 2021-03-09T15:45:47Z | - |
dc.date.available | 2021-03-09T15:45:47Z | - |
dc.date.issued | 2020-05 | - |
dc.identifier.citation | Mena, C., Gatt, A., DeMarco, A., Borg, C., van der Plas, L., Muscat, A., & Padovani, I. (2020). MASRI-HEADSET : a Maltese corpus for speech recognition. 12th Language Resources and Evaluation Conference. | en_GB |
dc.identifier.uri | https://www.um.edu.mt/library/oar/handle/123456789/70775 | - |
dc.description.abstract | Maltese, the national language of Malta, is spoken by approximately 500,000 people. Speech processing for Maltese is still in its early stages of development. In this paper, we present the first spoken Maltese corpus designed purposely for Automatic Speech Recognition (ASR). The MASRI-HEADSET corpus was developed by the MASRI project at the University of Malta. It consists of 8 hours of speech paired with text, recorded by using short text snippets in a laboratory environment. The speakers were recruited from different geographical locations all over the Maltese islands, and were roughly evenly distributed by gender. This paper also presents some initial results achieved in baseline experiments for Maltese ASR using Sphinx and Kaldi. The MASRI HEADSET Corpus is publicly available for research/academic purposes. | en_GB |
dc.language.iso | en | en_GB |
dc.publisher | European Language Resources Association (ELRA) | en_GB |
dc.rights | info:eu-repo/semantics/openAccess | en_GB |
dc.subject | Maltese language | en_GB |
dc.subject | Maltese language -- Study and teaching | en_GB |
dc.subject | Linguistics | en_GB |
dc.subject | Automatic speech recognition | en_GB |
dc.title | MASRI-HEADSET : a Maltese corpus for speech recognition | en_GB |
dc.type | conferenceObject | en_GB |
dc.rights.holder | The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder. | en_GB |
dc.bibliographicCitation.conferencename | 12th Language Resources and Evaluation Conference | en_GB |
dc.bibliographicCitation.conferenceplace | 2020 | en_GB |
dc.description.reviewed | peer-reviewed | en_GB |
Appears in Collections: | Scholarly Works - InsLin |
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File | Description | Size | Format | |
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2020.lrec-1.784.pdf | 381.86 kB | Adobe PDF | View/Open |
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