Acoustic recognition of noise-like environmental sounds by using artificial neural network

作者：

Highlights：

• Recognition of noise-like sounds using frequency spectrum as feature vector.

• Hybrid procedure for the recognition of environmental sounds based on heuristics.

• Optimal preprocessing for improving accuracy in the presence of disturbances.

摘要

•Recognition of noise-like sounds using frequency spectrum as feature vector.•Hybrid procedure for the recognition of environmental sounds based on heuristics.•Optimal preprocessing for improving accuracy in the presence of disturbances.

论文关键词：Acoustic recognition,Sound source recognition,Noise-like sounds,Artificial neural network,Classification,Frequency spectrum,Artificial intelligence

论文评审过程：Received 14 January 2020, Revised 14 June 2021, Accepted 24 June 2021, Available online 29 June 2021, Version of Record 9 July 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115484