OpenBibleTTS supplies speech data and alignments for 37 underrepresented languages and shows that no single TTS system leads on all metrics, with Gemini-TTS highest in listener ratings but monolingual EveryVoice models strongest on intelligibility for several African languages.
Alabi and Xuechen Liu and Dietrich Klakow and Junichi Yamagishi , year =
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Fine-tuned MMS model reaches 9.48% WER on Fongbe benchmark while Whisper on Hausa videos yields 6,770 segments rated 57.4/100 quality, with Fongbe lower at 36.5/100.
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OpenBibleTTS: Large-Scale Speech Resources and TTS Models for Low-Resource Languages
OpenBibleTTS supplies speech data and alignments for 37 underrepresented languages and shows that no single TTS system leads on all metrics, with Gemini-TTS highest in listener ratings but monolingual EveryVoice models strongest on intelligibility for several African languages.
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From Speech to Text Corpora: Evaluating ASR-Based Data Acquisition for Low-Resource Fongbe and Hausa
Fine-tuned MMS model reaches 9.48% WER on Fongbe benchmark while Whisper on Hausa videos yields 6,770 segments rated 57.4/100 quality, with Fongbe lower at 36.5/100.