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Title: | MASRI-HEADSET : a Maltese corpus for speech recognition |
Authors: | Mena, Carlos Gatt, Albert DeMarco, Andrea Borg, Claudia Van der Plas, Lonneke Muscat, Amanda Padovani, Ian |
Keywords: | Maltese language Maltese language -- Study and teaching Linguistics Automatic speech recognition |
Issue Date: | 2020-05 |
Publisher: | European Language Resources Association (ELRA) |
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. |
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. |
URI: | https://www.um.edu.mt/library/oar/handle/123456789/70775 |
Appears in Collections: | Scholarly Works - InsLin |
Files in This Item:
File | Description | Size | Format | |
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2020.lrec-1.784.pdf | 381.86 kB | Adobe PDF | View/Open |
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