Design and Development of a Text-to-Speech Synthesizer for Afan Oromo

نویسندگان

چکیده

Abstract Speech is one of the natural ways communication between humans, later extended as a means for human–computer interaction. It helps visually impaired people to read electronic texts and used in information retrieval language education. This paper proposed development text-to-speech synthesizer Afan Oromo (Oromo Language), using unit selection speech approaches. Although several works have been conducted area synthesis technologically favored languages many years, every has its own unique features. So, systems developed cannot be another language, because structures are not presumably representative others. clear that each program based on system corresponding phonetic rules certain language. Besides, existing was reviewed this study result prototype results showing promising, however, still, their performance needs lot improvement terms intelligibility naturalness novel approaches quality corpus. Therefore, research initiated develop possibility developing improve synthesizer. In study, corpus collected from genuine sources prepared datasets both text audio collaboration with experts. The tested by proper users Mean Opinion Scale (MOS). obtained 4.44 (very good) out 5, which indicated encouraging better than TTS naturalness. But scored still further work. main challenge dialects, so preparing balanced dialect very tough. Moreover, enhancement work predicted bring reasonable level system.

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ژورنال

عنوان ژورنال: SN computer science

سال: 2022

ISSN: ['2661-8907', '2662-995X']

DOI: https://doi.org/10.1007/s42979-022-01306-7