Paper Info
Title
Using Prosody And Phonotactics In Arabic Dialect Identification
Abstract
While Modern Standard Arabic is the formal spoken and written language of the Arab world, dialects are the major communication mode for everyday life; identifying a speaker's dialect is thus critical to speech processing tasks such as automatic speech recognition, as well as speaker identification. We examine the role of prosodic features (intonation and rhythm) across four Arabic dialects: Gulf, Iraqi, Levantine, and Egyptian, for the purpose of automatic dialect identification. We show that prosodic features can significantly improve identification, over a purely phonotactic-based approach, with an identification accuracy of 86.33% for 2m utterances.
Year
Venue
Keywords
2009
INTERSPEECH 2009: 10TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2009, VOLS 1-5
automatic speech recognition,speech processing,computer science
Field
DocType
Citations 
Prosody,Speech processing,Phonotactics,Speaker identification,Arabic,Computer science,Written language,Artificial intelligence,Natural language processing,Everyday life,Speech recognition,Modern Standard Arabic,Linguistics
Conference
3
PageRank 
References 
Authors
0.49
7
2
Name
Order
Citations
PageRank
Fadi Biadsy120715.14
Julia Hirschberg22982448.62