Developing a Stress Prediction Tool for Arabic Speech Recognition Tasks

Developing natural language processing applications for Arabic must consider the different linguistic characteristics found in speech and translate those characteristics to script in order to reduce computational complexity and therefore reduce the word error rate (WER). Suprasegmental features are...

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Autores principales:	Eiman Alsharhan, Salah Alnajem
Formato:	Artigo
Lenguaje:	Árabe
Publicado:	King Faisal University 2021-12-01
Colección:	Scientific Journal of King Faisal University: Humanities and Management Sciences
Materias:	suprasegmental features, stress, phonetic transcription, automatic speech recognition
Acceso en línea:	https://services.kfu.edu.sa/ScientificJournalHumanity/en/Home/ContentsDetails/12692
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