Speech emotion recognition (SER) has grown to be one of the most trending research topics
in computational linguistics in the last two decades. Speech being the primary …

This paper introduces the extended description of a database that contains emotional
speech in the Russian language of younger school age (8–12-year-old) children and …

As a challenge to refine the spontaneity and productivity of a machine and human
coherence, speech emotion recognition has been an overriding area of research. The …

This paper introduces EmoBone, a comprehensive audio‐only emotional bone‐conducted
speech dataset featuring speakers from various countries. The dataset comprises speeches …

Text classification is one of the classic tasks in the field of natural language processing. The
goal is to identify the category to which the text belongs. Text categorization is widely used in …

It is possible to identify emotions based on a person's speech. The field of research focusing
on expressing emotions through voice is continuously evolving. This study utilizes the …

Finding the appropriate speaker using voice recognition is called" speaker recognition."
Emotive Environment Speaker Recognition (EESR) identifies speakers using distinct …

Emotional speech synthesis has gained attention for enhancing the naturalness and
expressiveness of synthesized speech. However, developing emotional speech synthesis …

Abstract Speech Emotion Recognition (SER) plays a predominant role in human-machine
interaction. SER is a challenging task because of number of complexities involved in it. For …

This paper describes a Punjabi audio emotional dataset that was collected and developed
for the process of Speech Emotion Recognition (SER), specifically done for Punjabi …