Analysis Of Emotions Through Speech Recognition

Authors

  • Mr. Anandappa Lecturer, Department of Computer Science and Engineering, Government Polytechnic Raichur, Karnataka, India
  • Mrs. Kavita Mudnal Lecturer, Department of Electronics and Communication, Government Polytechnic Raichur, Karnataka, India.

DOI:

https://doi.org/10.61808/jsrt95

Keywords:

Speech Recognition, AI, Speech emotion recognition (SER)

Abstract

Speech emotion recognition (SER) is a burgeoning field in AI that analyzes vocal characteristics to understand human emotions. It delves deeper than the literal meaning of words, uncovering emotional cues hidden within speech patterns. Pitch, loudness, and speech rate are just a few features that vary with emotional state. SER utilizes machine learning algorithms to classify these features into categories like happiness, sadness, or anger. This technology offers a treasure trove of possibilities, from enhancing human-computer interaction to revolutionizing customer service and even aiding in mental health assessments. As SER continues to evolve, it holds the potential to transform how we connect with machines, fostering deeper understanding and richer emotional experiences.

Published

21-04-2024

How to Cite

Mr. Anandappa, & Mrs. Kavita Mudnal. (2024). Analysis Of Emotions Through Speech Recognition. Journal of Scientific Research and Technology, 2(4), 30–34. https://doi.org/10.61808/jsrt95

Issue

Section

Articles