ML-ASPA: A Contemplation of Machine Learning-based Acoustic Signal Processing Analysis for Sounds, & Strains Emerging Technology

arXiv:2402.10005v1 Announce Type: cross
Abstract: Acoustic data serves as a fundamental cornerstone in advancing scientific and engineering understanding across diverse disciplines, spanning biology, communications, and ocean and Earth science. This inquiry meticulously explores recent advancements and transformative potential within the domain of acoustics, specifically focusing on machine learning (ML) and deep learning. ML, comprising an extensive array of statistical techniques, proves indispensable for autonomously discerning and leveraging patterns within data. In contrast to traditional acoustics and signal processing, ML adopts …

abstract acoustics analysis arxiv biology communications cs.ai cs.lg cs.sd data diverse domain earth eess.as emerging technology engineering machine machine learning ocean processing science signal technology type understanding