Moroccan Dialect “Darija” Automatic Speech Recognition: A Survey

Maria Labied, A. Belangour
{"title":"Moroccan Dialect “Darija” Automatic Speech Recognition: A Survey","authors":"Maria Labied, A. Belangour","doi":"10.1109/PRML52754.2021.9520690","DOIUrl":null,"url":null,"abstract":"Nowadays, human-machine interaction is growing swiftly, and Automatic Speech Recognition is gaining immense interest to make the daily routines much easier. This could be illustrated by the various applications of Speech Recognition in our daily lives, such as voice dictation, interactive voice response systems, device control, telephone applications, and others. Besides Automatic Speech Recognition, Natural language processing has gained significant improvements in terms of technologies and used approaches. Till today great results have been achieved in those Fields, especially for international languages such as English, Spanish, French, and Arabic. Whereas few results have been reached for dialects of languages such as the case of Moroccan dialect “Darija”. The growing use of Moroccan Darija on social media, videos, chatting and others, opens new research directions for Moroccan Darija speech recognition. The leading goal of this paper is to give a literature review on Moroccan Darija Automatic Speech Recognition. Through presenting the dialect specific constraints, the different works conducted in the field of Moroccan Darija speech recognition, and the progress made in recent years.","PeriodicalId":429603,"journal":{"name":"2021 IEEE 2nd International Conference on Pattern Recognition and Machine Learning (PRML)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 2nd International Conference on Pattern Recognition and Machine Learning (PRML)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PRML52754.2021.9520690","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Nowadays, human-machine interaction is growing swiftly, and Automatic Speech Recognition is gaining immense interest to make the daily routines much easier. This could be illustrated by the various applications of Speech Recognition in our daily lives, such as voice dictation, interactive voice response systems, device control, telephone applications, and others. Besides Automatic Speech Recognition, Natural language processing has gained significant improvements in terms of technologies and used approaches. Till today great results have been achieved in those Fields, especially for international languages such as English, Spanish, French, and Arabic. Whereas few results have been reached for dialects of languages such as the case of Moroccan dialect “Darija”. The growing use of Moroccan Darija on social media, videos, chatting and others, opens new research directions for Moroccan Darija speech recognition. The leading goal of this paper is to give a literature review on Moroccan Darija Automatic Speech Recognition. Through presenting the dialect specific constraints, the different works conducted in the field of Moroccan Darija speech recognition, and the progress made in recent years.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
摩洛哥方言“Darija”自动语音识别研究
在人机交互飞速发展的今天,自动语音识别技术正引起人们极大的兴趣,使日常工作变得更加容易。这可以通过语音识别在我们日常生活中的各种应用来说明,例如语音听写、交互式语音响应系统、设备控制、电话应用等。除了自动语音识别之外,自然语言处理在技术和使用方法方面也取得了重大进展。直到今天,在这些领域取得了巨大的成果,特别是在英语、西班牙语、法语和阿拉伯语等国际语言方面。然而,对语言方言(如摩洛哥方言“Darija”)的研究结果却很少。摩洛哥语Darija在社交媒体、视频、聊天等方面的使用越来越多,为摩洛哥语Darija语音识别开辟了新的研究方向。本文的主要目的是对摩洛哥语Darija自动语音识别进行文献综述。通过介绍方言的具体制约因素,介绍在摩洛哥语达里加语语音识别领域开展的不同工作,以及近年来取得的进展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Intelligent Robot for Cleaning Garbage Based on OpenCV Research on Tibetan-Chinese Machine Translation Based on Multi-Strategy Processing A Survey of Object Detection Based on CNN and Transformer A Review of Segmentation and Classification for Retinal Optical Coherence Tomography Images Research on the Methods of Speech Synthesis Technology
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1