Prosody-based Spoken Algerian Arabic Dialect Identification
| Autor: | Djelloul Ziadi, Hadda Cherroun, Soumia Bougrine |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Consonant
Arabic Computer science 05 social sciences 0507 social and economic geography Intonation (linguistics) 02 engineering and technology 050701 cultural studies language.human_language Linguistics Identification (information) Vowel 0202 electrical engineering electronic engineering information engineering language General Earth and Planetary Sciences 020201 artificial intelligence & image processing Prosody General Environmental Science |
| Zdroj: | Procedia Computer Science. 128:9-17 |
| ISSN: | 1877-0509 |
| Popis: | Dialect is the most common way of communication in every day life. Automatically identifying a dialect is a challenging task, especially when we deal with close dialects within the same country. In this paper, we address the problem of Spoken Algerian Arabic Dialect Identification (SAADID). Indeed, we propose a new system based on prosodic speech information, namely intonation and rhythm. The rhythm features are got using a coarse-grained consonant/vowel segmentation. The performance of this approach is shown through experiments on six dialects of the departments of Adrar, Algiers, Bousaâda, Djelfa, Laghouat and Oran. The results prove the suitability of our prosody-based system for SAADID with more than 69% of precision using 2s test utterances. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|