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 …

Precise recognition of emotion from speech signals aids in enhancing human–computer
interaction (HCI). The performance of a speech emotion recognition (SER) system depends …

Background Deep learning (DL) is one of the latest approaches to artificial intelligence. As
an unsupervised DL method, a generative adversarial network (GAN) can be used to …

Audio-visual emotion recognition is the research of identifying human emotional states by
combining the audio modality and the visual modality simultaneously, which plays an …

Speech emotion recognition (SER) is a challenging task in human–computer interaction
(HCI) systems. One of the key challenges in speech emotion recognition is to extract the …

The fields of medicine and neuroscience often face challenges in obtaining a sufficient
amount of diverse data for training machine learning models. Data augmentation can …

This work investigates the significance of the voiced and unvoiced region for detecting
common cold from the speech signal. In literature, the entire speech signal is processed to …

The modeling of human emotion expression in speech signals is an important, yet
challenging task. The high resource demand of speech emotion recognition models …

Automatic speech emotion recognition (SER) has gained popularity over the last decade
and numerous Challenges have emerged. While the latest Challenges have shown that …

Adversarial attacks have threatened the credibility of machine learning models and cast
doubts over the integrity of data. The attacks have created much harm in the fields of …