Design of a Yoruba Language Speech Corpus for the Purposes of Text-to-Speech (TTS) Synthesis

Dagba, Théophile K.; Aoga, John O. R.; Fanou, Codjo C.

doi:10.1007/978-3-662-49381-6_16

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Cited by 4 publications

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“…TWB Gamayun kits [17] include a 6-hour single speaker high-quality Swahili speech corpus optimized for TTS training. Earlier Yorùbá TTS efforts typically used bespoke private data [18,19,20,21,22]. For isiXhosa, Sesotho, Setswana and Afrikaans, multi-speaker corpora of approximately 2 hours each have been developed for TTS [23,24].…”

Section: Related Workmentioning

confidence: 99%

BibleTTS: a large, high-fidelity, multilingual, and uniquely African speech corpus

Meyer¹,

Adelani²,

Casanova³

et al. 2022

Preprint

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Section: Related Workmentioning

confidence: 99%

BibleTTS: a large, high-fidelity, multilingual, and uniquely African speech corpus

Meyer¹,

Adelani²,

Casanova³

et al. 2022

Preprint

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show abstract

Developing an Open-Source Corpus of Yoruba Speech

et al. 2020

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A State-of-the-Art Review of Nigerian Languages Natural Language Processing Research

Asubiaro

Igwe

2022

Research Anthology on Applied Linguistics and Language Practices

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African languages, including those that are natives to Nigeria, are low-resource languages because they lack basic computing resources such as language-dependent hardware keyboard. Speakers of these low-resource languages are therefore unfairly deprived of information access on the internet. There is no information about the level of progress that has been made on the computation of Nigerian languages. Hence, this chapter presents a state-of-the-art review of Nigerian languages natural language processing. The review reveals that only four Nigerian languages; Hausa, Ibibio, Igbo, and Yoruba have been significantly studied in published NLP papers. Creating alternatives to hardware keyboard is one of the most popular research areas, and means such as automatic diacritics restoration, virtual keyboard, and optical character recognition have been explored. There was also an inclination towards speech and computational morphological analysis. Resource development and knowledge representation modeling of the languages using rapid resource development and cross-lingual methods are recommended.

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Design of a Yoruba Language Speech Corpus for the Purposes of Text-to-Speech (TTS) Synthesis

Cited by 4 publications

References 14 publications

BibleTTS: a large, high-fidelity, multilingual, and uniquely African speech corpus

BibleTTS: a large, high-fidelity, multilingual, and uniquely African speech corpus

Developing an Open-Source Corpus of Yoruba Speech

A State-of-the-Art Review of Nigerian Languages Natural Language Processing Research

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