Despite advances in antimicrobial and anti-inflammatory therapies, inflammation and its
consequences still remain a significant problem in medicine. Acute inflammatory responses …

User emotional status recognition is becoming a key feature in advanced Human Computer
Interfaces (HCI). A key source of emotional information is the spoken expression, which may …

Affective Computing systems can detect the emotional state and mindset of an individual.
Speech Emotion Recognition (SER) is a unimodal affect computing system based on …

The performance of speech emotion recognition is affected by the differences in data
distributions between train (source domain) and test (target domain) sets used to build and …

Human-robot emotional interaction has developed rapidly in recent years, in which speech
emotion recognition plays a significant role. In this paper, a speech emotion recognition …

People express emotions through different modalities. Utilization of both verbal and
nonverbal communication channels allows to create a system in which the emotional state is …

Speech is the most effective way for people to exchange complex information. Recognition
of emotional information contained in speech is one of the important challenges in the field …

Neural text-to-speech (TTS) approaches generally require a huge number of high quality
speech data, which makes it difficult to obtain such a dataset with extra emotion labels. In …

Recent analysis on speech emotion recognition (SER) has made considerable advances
with the use of MFCC's spectrogram features and the implementation of neural network …

A significant role is played by Speech Emotion Recognition (SER) with different applications
in affective computing and human-computer interface. In literature, the most adapted …