Speech emotion recognition could be considered a new topic in speech processing where he plays that plays an essential role in human interaction. Emotions are a king of speech that recognizes the three significant aspects of designing the speech emotion recognition system. This article reviews the ...
Speech emotion recognition (SER) has gained an increased interest during the last decades as part of enriched affective computing. As a consequence, a variety of engineering approaches have been developed addressing the challenge of the SER problem, exploiting different features, learning algorithms, an...
Survey on speech emotion recognition 来自 Semantic Scholar 喜欢 0 阅读量: 131 作者:LS Zhao,Q Zhang,XP Wei 摘要: First,introduced the system of speech emotion recognition.Second,detailed the used features.Then,presented comparison and analysis on the classification algorithms.At last,discussed future...
Speech emotion recognition (SER) is a machine learning problem where the speech utterances are classified depending on their underlying emotions. This chapter presents an overview of the prominent classification techniques used in SER. There are two broad categories of classifiers used in SER, the ...
Speech Recognition is the technology that deals with techniques and methodologies to recognize the speech from the speech signals. Various technological advancements in the field of the artificial intelligence and signal processing techniques, recognition of emotion made easier and possible. A Need for in...
II.LITERATURE SURVEY Selection of feature set in a classification problem is one of the important steps. So far, a large number of different features have been proposed to recognize emotional states. These features can be categorized broadly into acoustic features and linguistic features. The ...
语音情感识别的研究进展 a survey of emotion recognition in speech 第12卷第1期 电路与系统学报 V01.12No.1 2007年2月 JOURNAL0FCIRCUITSANDSYSTEMS 文章编号:1007一0249(2007)01一0090一09 语音情感识别的研究进展+ 林奕琳1, 韦岗1, 杨康才2 (1.华南理工大学电子与信息学院,广东广州510640:2.深圳市公安局...
Current studies still encounter many bottlenecks in both speech emotion recognition and emotional speech synthesis because of the lack of the fine modeling of emotions. This paper takes two basic emotions including happiness and sadness as an example to explore the fine modeling of emotions, aiming ...
We have identified and discussed distinct areas of SER, provided a detailed survey of current literature of each, and also listed the current challenges. 展开 关键词: Speech emotion recognition Survey Speech features Classification Speech databases ...
通过利用《Dawn of the transformer era in speech emotion recognition: closing the valence gap》等预训练模型将模型扩展到跨语言和情绪可控的语音合成模型。 根据《A survey on non-autoregressive generation for neural machinetranslation and beyond.》,分层语音合成框架可以通过引入非自回归生成来应用于语音到语音...