ÌròyìnSpeech: A multi-purpose Yorùbá Speech Corpus

Tolulope Ogunremi, Kola Tubosun, Anuoluwapo Aremu, Iroro Orife, David Ifeoluwa Adelani
7/29/2023
cs.CLcs.SDeess.AS

No official code found. Best implementation: Niger-Volta-LTI/yoruba-voice (12 stars, MIT, last commit 2024-05-20).

Abstract

We introduce ÌròyìnSpeech, a new corpus influenced by the desire to increase the amount of high quality, contemporary Yorùbá speech data, which can be used for both Text-to-Speech (TTS) and Automatic Speech Recognition (ASR) tasks. We curated about 23000 text sentences from news and creative writing domains with the open license CC-BY-4.0. To encourage a participatory approach to data creation, we provide 5000 curated sentences to the Mozilla Common Voice platform to crowd-source the recording and validation of Yorùbá speech data. In total, we created about 42 hours of speech data recorded by 80 volunteers in-house, and 6 hours of validated recordings on Mozilla Common Voice platform. Our TTS evaluation suggests that a high-fidelity, general domain, single-speaker Yorùbá voice is possible with as little as 5 hours of speech. Similarly, for ASR we obtained a baseline word error rate (WER) of 23.8.

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Code Implementations(1)

Niger-Volta-LTI/yoruba-voiceCommunity100%
MIT

Repo & Project for the Imminent Research Grant code & tasks

123Shell, PythonMay 2, 20222 years agoMIT

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Cite this paper

@article{ogunremi2023rynspeech,
  title  = {ÌròyìnSpeech: A multi-purpose Yorùbá Speech Corpus},
  author = {Tolulope Ogunremi and Kola Tubosun and Anuoluwapo Aremu and Iroro Orife and David Ifeoluwa Adelani},
  year   = {2023},
  eprint = {2307.16071},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2307.16071v2}
}

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