This paper presents a novel speech emotion recognition scheme that leverages the individuality of perception. Most conventional methods simply poll multiple listeners and directly model majority decision as perceived emotion. However, perception varies with listener, which forces their single models to create complex mixtures criteria. In order mitigate this problem, we propose majority-voted f...

Emotion plays a significant role in cognitive psychology, behavioural sciences and humanoid robot design. The continuing improvements in speech recognition technology have led to many new and fascinating applications in human-computer interaction, context aware computing and computer mediated communication. A growing number of research studies in emotion recognition via an isolated short senten...

As research in speech processing has matured, attention has gradually shifted from linguistic-related applications such as speech recognition towards paralinguistic speech processing problems, in particular the recognition of speaker identity, language, emotion, gender, and age. Determination of a speaker’s emotion or mental state is a particularly challenging problem, in view of the significan...

Speech emotion recognition is a crucial work direction in speech recognition. To increase the performance of detection, researchers have worked relentlessly to improve data augmentation, feature extraction, and pattern formation. address concerns limited resources model training overfitting, A-CapsNet, neural network based on augmentation methodologies, proposed this research. In order solve is...

Recently, increasing attention has been directed to the study of the speech emotion recognition, in which global acoustic features of an utterance are mostly used to eliminate the content differences. However, the expression of speech emotion is a dynamic process, which is reflected through dynamic durations, energies, and some other prosodic information when one speaks. In this paper, a novel ...

Emotion recognition from speech has emerged as an important research area in the recent past. In this regard, review of existing work on emotional speech processing is useful for carrying out further research. In this paper, the recent literature on speech emotion recognition has been presented considering the issues related to emotional speech corpora, different types of speech features and mo...