Arabic stop consonants characterisation and classification using the normalized energy in frequency bands
| Autor: | Badia Mounir, Karim Tahiry, Laila Elmazouzi, Ilham Mounir, Abdelmajid Farchi |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Linguistics and Language
Arabic Computer science Speech recognition 01 natural sciences Language and Linguistics language.human_language Radio spectrum Human-Computer Interaction 030507 speech-language pathology & audiology 03 medical and health sciences 0103 physical sciences language Computer Vision and Pattern Recognition Syllable 0305 other medical science 010301 acoustics Software Energy (signal processing) |
| Zdroj: | International Journal of Speech Technology. 20:869-880 |
| ISSN: | 1572-8110 1381-2416 |
| DOI: | 10.1007/s10772-017-9454-9 |
| Popis: | In general, speech is made with sequences of consonants (fricatives, nasals and stops), vowels and glides. The classification of the stop consonants remains one of the most challenging problems in speech recognition. In this paper, we propose a new approach based on the normalized energy in frequency bands in the release and closure phases in order to characterize and classify the Arabic stop consonants (/b/, /d/, /t/, /k/ and /q/) and to recognize the CV syllable. Classification experiments were performed using decision algorithms on stop consonants C and CV syllables extracted from an Arabic corpus. The results yielded to an overall stop consonants classification of 90.27% and syllables CV recognition upper than 90% for all stops. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full text from SpringerLink