Deep Learning in Audio Classification

• Published in: Information and Software Technologies Vol. 1665; pp. 64 - 77
• Main Authors: Wang, Yaqin, Wei-Kocsis, Jin, Springer, John A., Matson, Eric T.
• Format: Book Chapter
• Language: English
• Published: Switzerland Springer International Publishing AG 2022; Springer International Publishing
• Series: Communications in Computer and Information Science
• Subjects: Audio classification; Deep learning; Deep reinforcement learning; Machine learning
• ISBN: 9783031163012; 303116301X
• ISSN: 1865-0929; 1865-0937
• DOI: 10.1007/978-3-031-16302-9_5

Audio processing technology is happening everywhere in our life. We ask our car to make a call for us while driving, or we let Alexa turn off the light for us when we don’t want to get out of bed before sleep. In all of these audio-based applications and research, it is AI and ML that makes the computer or the smart phone understand us via our voice [1]. As an important part of artificial intelligence (AI), especially machine learning (ML), which has had great influences in many areas of AI and ML-based research and applications. This paper focuses on deep learning structures and applications for audio classification. We conduct a detailed review of literature in audio-based DL and DRL approaches and applications. We also discuss the limitation and possible future works for audio-based DL approach.