Neural Networks for automatic environmental sound recognition

Svetlana Segarceanu, George Suciu, Inge Gavat
2021 Zenodo  
Environmental sound recognition is currently an important and valuable field of computer science and robotics, , security or environmental protection. The underlying methodology evolved from primary speech application characteristic methods to more specific approaches, and with the advent of the deep learning paradigm many attempts using these methods arose. The paper reopens the research we have started on the application of the Feed Forward Neural Networks, by exploring several
more » ... and introduces the Convolutional Neural Networks in our investigation. The experiments consider three classes of forest specific sounds and meant to detect the chainsaw sounds chainsaw, vehicle, and genuine forest.
doi:10.5281/zenodo.5517244 fatcat:ar7fpldfybg2fk4txcxryqib3y