Papers by Fernando Benites
TRANSLIT: A Large-scale Name Transliteration Resource (2020.lrec-1)
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| Challenge: | Transliteration is the process of expressing a proper name from a source language in the characters of a target language. |
| Approach: | They present a large-scale corpus of transliterated names in 180 languages . they use machine learning to train automatic transliteration . |
| Outcome: | The proposed system achieves 92% accuracy on identification of transliterated pairs. |
CEASR: A Corpus for Evaluating Automatic Speech Recognition (2020.lrec-1)
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Malgorzata Anna Ulasik, Manuela Hürlimann, Fabian Germann, Esin Gedik, Fernando Benites, Mark Cieliebak
| Challenge: | Automatic Speech Recognition (ASR) systems are increasingly needed for research and practical applications. |
| Approach: | They propose to use public speech corpora to evaluate the quality of automatic speech recognition (ASR) they calculate an average Word Error Rate (WER) per corpus, per system and per corpor-system pair . |
| Outcome: | The proposed corpus evaluates the quality of automatic speech recognition systems using public speech corpora and transcripts generated by state-of-the-art systems. |