Social background profiling of speakers is heavily used in areas, such as, speech forensics, and tuning speech recognition for accuracy improvement. This article provides a survey of recent research in speaker background profiling in terms of accent classification and analyses the datasets, speech features, and classification models used for the classification tasks. The aim is to provide a comprehensive overview of recent research related to speaker background profiling and to present a comparative analysis of the achieved performance measures. Comprehensive descriptions of the datasets, speech features, and classification models used in recent research for accent classification have been presented, with a comparative analysis made on the performance measures of the different methods. This analysis provides insights into the strengths and weaknesses of the different methods for accent classification. Subsequently, research gaps have been identified, which serve as a useful resource for researchers looking to advance the field.

中文翻译：

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从语音口音对说话者社会背景分析的回顾

说话者的社会背景分析广泛应用于语音取证和调整语音识别以提高准确性等领域。本文对口音分类方面的说话人背景分析的最新研究进行了调查，并分析了用于分类任务的数据集、语音特征和分类模型。目的是全面概述与演讲者背景分析相关的最新研究，并对所实现的绩效指标进行比较分析。对最近口音分类研究中使用的数据集、语音特征和分类模型进行了全面的描述，并对不同方法的性能指标进行了比较分析。该分析提供了对不同口音分类方法的优缺点的见解。随后，研究差距被确定，这为寻求推进该领域的研究人员提供了有用的资源。