Emotion recognition from speech is an emerging field within machine learning, aimed at improving human-computer interaction by enabling systems to understand and respond to human emotions. This paper ...

In this study, we propose a high-precision, fine-grained emotion recognition system based on multisource throat physiological signals. The system collects signals through optimized flexible ...

Objective: This study aimed to develop deep learning–based automatic facial emotion recognition (FER) models for binary (positive vs negative) and multiclass emotion classification tasks, assess the ...

They evaluated the performance using BLEURT scores for S2TT and ASR-BLEU for S2ST, along with other metrics like prosody, voice similarity, pauses, and speech rate. They found that incorporating ...

The researchers also pointed to some limitations in their study, for example, that actor-spoken sample sentences may not convey the full spectrum of real, spontaneous emotion. They also said that ...

In the field of human-computer interaction, identifying the emotions conveyed in a person's speech is a challenge that is both incredibly fascinating and challenging. Recent times have seen a ...

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 (SER). A step by step ...