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

Speech emotion recognition (SER) is an essential field of artificial intelligence. Although the
Mel spectrogram is commonly used in SER, it emphasizes low-frequency emotional …

The objective of speech emotion recognition (SER) is to enhance man–machine interface. It
can also be used to cover the physiological state of a person in critical situations. In recent …

A scheme based on high-order statistical analysis of vertical axle box acceleration (ABA) is
proposed to locate and identify mortar voids in ballastless tracks quickly. The ABA signal …

Speech emotion recognition and its precise classification are challenging tasks that heavily
depend on the quality of feature extraction and selection for speech signals. Many feature …

The automatic identification of emotions from speech holds significance in facilitating
interactions between humans and machines. To improve the recognition accuracy of speech …

In recent times, the recognition of human emotional states expressed through speech
communication through speech communication has garnered significant interest among …

The present fast-moving era brings a serious stress issue that affects elders and youngsters.
Everyone has undergone stress factors at least once in their lifetime. Stress is more among …

In the context of smart classrooms (SC), one of the sources that can enrich data collection,
analysis, real-time feedback, and decision making are students' emotions. This research …

In this research, TDNN model and x-vector are presented in order to robust noise and
frequency filtering caused by telephone communication. MFCC is used as the speaker …