Papers by Carlos Daniel Hernandez Mena

3 papers
SamróMur MilljóN: An ASR Corpus of One Million Verified Read Prompts in Icelandic (2024.lrec-main)

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Challenge: samrómur is a crowdsourcing web application designed to collect speech data for the advancement of language technologies in Icelandic.
Approach: They propose to use a crowdsourcing web application to collect and verify Icelandic speech data for automatic speech recognition (ASR) they introduce a dataset comprising one million audio clips from the application .
Outcome: The proposed system can produce high-quality speech data for Icelandic . the proposed system is based on a crowdsourced web application built on Mozilla's Common Voice .
MASRI-HEADSET: A Maltese Corpus for Speech Recognition (2020.lrec-1)

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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.
Samrómur Children: An Icelandic Speech Corpus (2022.lrec-1)

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Challenge: Samrómur Children contains 131 hours of read speech from Icelandic children aged between 4 to 17 years.
Approach: They propose to build a large-scale speech corpus for automatic speech recognition for Icelandic.
Outcome: The corpus contains 131 hours of read speech from Icelandic children aged 4 to 17 years . the goal of the project is to make Icelandic available in language-technology applications .

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