Voice Quality Evaluation Platform for the Arabic Language
| Autor: | Aissa Amrouche, Youssouf Bentrcia, Ahcene Abed, Kamel Ferrat, Leila Falek, Khadidja Nesrine Boubakeur |
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| Rok vydání: | 2021 |
| Předmět: |
Voice over IP
Computer science business.industry 020209 energy Mean opinion score Speech recognition media_common.quotation_subject 020208 electrical & electronic engineering SIGNAL (programming language) Speech synthesis 02 engineering and technology Communications system computer.software_genre Perception 0202 electrical engineering electronic engineering information engineering Quality (business) business computer PESQ media_common |
| Zdroj: | 2021 8th International Conference on Electrical and Electronics Engineering (ICEEE). |
| DOI: | 10.1109/iceee52452.2021.9415924 |
| Popis: | The voice quality evaluation of communication systems is necessary for technical and commercial reasons for the expansion of digital networks, mobile or VoIP and speech synthesis systems. Voice quality can be evaluated using two types of methods: subjective MOS (Mean Opinion Score) and objective PESQ (Perceptual Evaluation Speech Quality). In this work, we propose a study of voice quality evaluation methods; in which a subjective and objective evaluation platform of voice quality is provided. We applied different tests used in the assessment of the speech signal quality to speech synthesis signal for the Arabic Language (GArabic: Generic Arabic). The listeners recognized the majority of changes of consonants and vowels in words and sentences with respective percentages of 98.26%, 92.97%. The comparison between MOS and PESQ tests gave a good correlation coefficient of 0.922. |
| Databáze: | OpenAIRE |
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