Audio Sentiment Analysis: Techniques, Workflow, Challenges, Applications and Literature Review

Audio sentiment analysis is a rapidly evolving field that seeks to uncover emotional insights from audio signals, with broad applications in technology, healthcare, and user experience design. This paper presents a detailed review of recent advancements, highlighting key techniques, ongoing challenges, and real-world applications that illustrate the potential of this technology. The Literature Review provides an integrated analysis of significant findings across various studies, identifying core trends and unique contributions. Finally, the Conclusion explores promising future research directions, laying the groundwork for continued innovation in extracting sentiment from sound. Keywords Audio Sentiment Analysis, Sentiment Classification, Deep Learning Techniques, Feature Extraction, Transfer Learning Ensemble Methods, Multi-Task Learning, Challenges in Sentiment Analysis, Applications of Sentiment Analysis, Literature Review of Audio Sentiment Analysis