Emotion recognition from speech signals is an important but challenging component of
Human-Computer Interaction (HCI). In the literature of speech emotion recognition (SER) …

Nowadays emotion recognition from speech (SER) is a demanding research area for
researchers because of its wide real-life applications. There are many challenges for SER …

Automatic human affect recognition is a key step towards more natural human-computer
interaction. Recent trends include recognition in the wild using a fusion of audiovisual and …

Abstract Speech Emotion Recognition (SER) can be regarded as a static or dynamic
classification problem, which makes SER an excellent test bed for investigating and …

This paper proposes a speech emotion recognition method based on phoneme sequence
and spectrogram. Both phoneme sequence and spectrogram retain emotion contents of …

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 …

Speech emotion recognition (SER) plays a crucial role in improving the quality of man–
machine interfaces in various fields like distance learning, medical science, virtual …

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 …

Nowadays, analyzing and interpreting emotions through human speech communication
have drawn a great attention in the field of human-computer interaction. Therefore, many …

The speech emotion recognition (SER) field has been active since it became a crucial
feature in advanced Human-Computer Interaction (HCI), and wide real-life applications use …