Language and Dialect Identification: A survey
Language and Dialect Identification: A survey
复制标题
语言和方言识别：一项调查
DOI：
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
Louis Beex
中科院分区：
文献类型：
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作者：
A. Etman;Louis Beex
方言自动识别一直是语音信号处理领域的研究热点。方言可以定义为特定社会的语言特征。因此，方言可以通过说话者的音素、发音和诸如音调、响度和鼻音的特征来识别。能够准确地检测方言有助于改善某些应用程序和服务，如自动语音识别，远程访问，电子健康，电子学习等，因此，方言识别工作比仅仅识别特定的语言或语音更具挑战性。因此，方言识别成为一个重要的研究课题。本文综述了方言识别方面的工作，在这方面取得了哪些成就，然后提出今后几年可以预期的情况。
Automatic Dialect Identification has attracted researchers in the field of speech signal processing. Dialect can be defined as the language characteristics of a specific community. As such, dialect can be recognized by a speaker's phonemes, pronunciation, and traits such as tonality, loudness, and nasality. Being able to detect dialect accurately helps improve certain applications and services, such as Automatic Speech Recognition, remote access, e-health, e-learning, etc. Hence, working on dialect identification is more challenging than just recognizing a specific language or speech. For that reason, Dialect Identification became an important and attractive research topic. In this paper, we survey work done in dialect identification, i.e., what has been achieved in this area, and then provide an idea of what can be expected within the next few years.
影响因子：
2.4
作者：
HILLENBRAND, J;GETTY, LA;WHEELER, K
通讯作者：
WHEELER, K