情绪言语数据库研究进展

Beer Singh Youddha
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引用次数: 8

摘要

由于其众多的实际应用,人类语音情感识别现在是一个具有挑战性和要求科学家的研究课题。语音数据库、语音特征和分类器是语音情感识别的重要因素。合适的情感语音数据库的可用性是语音情感识别的第一步。本文对情绪语音数据库进行了全面的文献综述。总结了各种情绪和语言中合适的情绪语音数据库的可用性。共审阅了情绪性言语数据库的26篇论文。它确定了经常使用的语音数据库,还确定了流行的语音数据库和大多数数据库可用的语言。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Review on Emotional Speech Databases
Due to its numerous practical applications, human emotion recognition from speech is now a challenging and demanding research subject for scientists. The Speech databases, speech features, and classifiers are the important factors for recognizing emotions from speech. The availability of suitable emotional speech databases is the first step for Speech Emotion Recognition (SER). This paper presents a comprehensive literature review of emotional speech databases. The availability of appropriate emotional speech databases in all emotions and languages are summarized. A total of 26 papers for the emotional speech database have been reviewed. It determines which speech databases are often used and also identifies popular speech databases and the languages in which the majority of the databases are available.
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