Papers by Isaac Feldman

2 papers
Development of Automatic Speech Recognition for the Documentation of Cook Islands Māori (2022.lrec-1)

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Challenge: a new study describes the process of data processing and training of an automatic speech recognition system for Cook Islands Mori . the system is based on statistical and Deep Learning techniques, and is available under a license .
Approach: They describe the process of data processing and training of an automatic speech recognition system for Cook Islands Mori . they transcribed four hours of speech from adults and elderly speakers of the language and prepared two experiments .
Outcome: The proposed system can perform better with low-resource Indigenous languages . the system can be used to accelerate the documentation of Cook Islands Mori .
Neural Machine Translation Models with Back-Translation for the Extremely Low-Resource Indigenous Language Bribri (2020.coling-main)

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Challenge: a small dataset of 5923 Bribri-Spanish pairs is used to train low-resource NMT models .
Approach: They propose a Chibchan NMT model and dataset with an average performance of BLEU 16.91.7 for Bribri.
Outcome: The proposed model improves on the Bribri dataset by 1.0 BLEU, but only when the new Spanish sentences belong to the same domain as the other Spanish examples.

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