对语音情感识别的研究现状和进展进行了归纳和总结, 对未来语音情感识别技术发展趋势进行了
展望. 从5 个角度逐步展开进行归纳总结, 即情感描述模型, 具有代表性的情感语音库 …

The landscape of mental health has undergone tremendous changes within the last two
decades, but the research on mental health is still at the initial stage with substantial …

Recently, studies have been performed on harmony features for speech emotion
recognition. It is found in our study that the first-and second-order differences of harmony …

Recently, increasing attention has been directed to the study of the emotional content of
speech signals, and hence, many systems have been proposed to identify the emotional …

Emotions play an essential role in human relationships, and many real‐time applications
rely on interpreting the speaker's emotion from their words. Speech emotion recognition …

This paper examines the effects of reduced speech bandwidth and the μ-low companding
procedure used in transmission systems on the accuracy of speech emotion recognition …

In this study, modulation spectral features (MSFs) are proposed for the automatic recognition
of human affective information from speech. The features are extracted from an auditory …

Speech signals and glottal signals convey speakers' emotional state along with linguistic
information. To recognize speakers' emotions and respond to it expressively is very much …

The great majority of current voice technology applications rely on acoustic features, such as
the widely used MFCC or LP parameters, which characterize the vocal tract response …

This work attempts to recognize emotions from human speech using prosodic information
represented by variations in duration, energy, and fundamental frequency (F_ 0 F 0) values …