Speech is the fundamental mode of human communication, and its synthesis has long been
a core priority in human–computer interaction research. In recent years, machines have …

Emotion recognition is a key attribute for artificial intelligence systems that need to naturally
interact with humans. However, the task definition is still an open problem due to the …

Speech emotion recognition (SER) plays a vital role in intelligent human–computer
interaction (HCI). The Convolutional Neural Network (CNN) is widely used in SER …

Deriving multimodal representations of audio and lexical inputs is a central problem in
Natural Language Understanding (NLU). In this paper, we present Contrastive Aligned …

The most effective technique to convey one's thoughts and actions to another is through the
use of emotion. Emotion recognition from one's own voice is the most urgently needed …

This research introduces a serverless cloud-based a system for identifying facial emotions
that is highly accurate and scalable, but not too complex. It uses A WS services like Lambda …

Emotion speech recognition in the cloud has emerged as a transformative technology with
the potential to revolutionize various sectors, induding customer service, mental health, and …

Knowing the individual's current emotional state through biomedical signals may give an
opportunity for early intervention. ECG signal is one of the most well-known bio signals. In …

The dialogue data usually consist of the pairs of a query and its response, but no previous
response generators have exploited the responses explicitly in their training while a …

Speech emotion recognition is a growing field that can be utilized in a variety of human-
computer interaction applications such as assistive technology, gaming, and virtual reality …