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Accent translation : improving online learning experience in Africa
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SautiLearn : improving online learning experience with accent translation
Abstract: The paper demonstrates the use case for SautiLearn, a tool that can help students to learn in localized language accents. The work focuses on converting audio speech from one accent to another using a sequence-to-sequence neural network model that uses speaker-independent linguistic features such as the phonetic posterior gram as input. SautiDB is a dataset collection platform that collects speech recordings of various Nigerian accents through the power of crowdsourcing. Together with SautiDB, the SautiDB-919 dataset contains 919 speech samples collected via crowdsourcing through the SautiDB web application platform. The dataset covers a wide range of ethnicities and Nigerian accent variants.
Keyword: AFRICAN LANGUAGES; AI4D; ARTIFICIAL INTELLIGENCE; COMPUTER APPLICATIONS; DATABASES; LANGUAGE BARRIERS; LANGUAGES; LINGUISTICS; LOCALIZATION; MACHINE AIDED TRANSLATION; NIGERIA; SOUTH OF SAHARA; TRANSLATION
URL: http://hdl.handle.net/10625/60116
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