Using prosody and phonotactics in Arabic dialect identification
Using prosody and phonotactics in Arabic dialect identification
复制标题
在阿拉伯语方言识别中使用韵律和音位学
DOI：
10.21437/interspeech.2009-77
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发表时间：
2009
影响因子：
3
通讯作者：
Julia Hirschberg
中科院分区：
文献类型：
--
作者：
Fadi Biadsy;Julia Hirschberg
虽然现代标准阿拉伯语是阿拉伯世界的正式口头和书面语言，但方言是日常生活的主要交流模式;因此识别说话者的方言对于语音处理任务（如自动语音识别）以及说话者识别至关重要。我们研究了韵律特征（语调和节奏）在四种阿拉伯方言中的作用：海湾方言、伊拉克方言、黎凡特方言和埃及方言，以实现自动方言识别。我们发现，韵律特征可以显着提高识别，在一个纯粹的基于音位的方法，识别准确率为86.33%的2 M话语。
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.