Energy bands and spectral cues for Arabic vowels recognition
| Autor: | Badia Mounir, Karim Tahiry, Abdelmajid Farchi, Ilham Mounir |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Linguistics and Language
Spectral moments Arabic Computer science Speech recognition Language and Linguistics language.human_language Human-Computer Interaction 030507 speech-language pathology & audiology 03 medical and health sciences 0302 clinical medicine Formant Duration (music) language Computer Vision and Pattern Recognition 0305 other medical science 030217 neurology & neurosurgery Software Energy (signal processing) |
| Zdroj: | International Journal of Speech Technology. 19:707-716 |
| ISSN: | 1572-8110 1381-2416 |
| DOI: | 10.1007/s10772-016-9363-3 |
| Popis: | The present study examines the short and long Arabic vowels (/a/, /a:/, /i/, /i:/, /u/ and /u:/) with a new approach based on three methods: formant frequencies extraction, spectral moments and energy bands. Among Arabic language characteristics compared to other languages are long vowels which can be pronounced with different duration length. The formant frequencies are the most exploited in characterizing vowels in different languages nevertheless using only formants was not very significant for vowels identification especially when production duration augments. Therefore, our approach is to broaden previous studies and present new tools in order to characterize long vowels compared to short ones. |
| Databáze: | OpenAIRE |
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