Papers by Ian Padovani
MASRI-HEADSET: A Maltese Corpus for Speech Recognition (2020.lrec-1)
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Carlos Daniel Hernandez Mena, Albert Gatt, Andrea DeMarco, Claudia Borg, Lonneke van der Plas, Amanda Muscat, Ian Padovani
| Challenge: | Maltese is the national language of Malta and is spoken by approximately 500,000 people. |
| Approach: | They present the first spoken Maltese corpus designed purposely for Automatic Speech Recognition (ASR) it consists of 8 hours of speech paired with text, recorded by using short text snippets in a laboratory environment. |
| Outcome: | The MASRI-HEADSET corpus was developed by the MASR project at the University of Malta. |