期刊论文

Zhang, C.

英文

IEEE ACCESS

2169-3536

2022

10

120804-120822

10.1109/ACCESS.2022.3222495

National Natural Science Foundation of China [61272278]; Natural Science Foundation of Hubei Province [2015CFA061, 2020CFB761, 2018CFB408]; Hubei Provincial Major Science and Technology Special Projects [2018ABA099]; Hubei Provincial Department of Education Research [D 20201601]; National Natural Science Foundation of China [61272278]; Natural Science Foundation of Hubei Province [2015CFA061, 2020CFB761, 2018CFB408]; Hubei Provincial Major Science and Technology Special Projects [2018ABA099]; Hubei Provincial Department of Education Research [D 20201601]

本校为第一机构

Urban sound event detection can automatically preload relevant information for a robot to ensure that it can be applied to various scene-activity tasks. To address the limitations of timbre similarity and scene recognition by audio collection devices, a fusion model based on the self-attention mechanism is proposed in this paper. The model consists of scattering transform and self-attention model. The scattering transform computes modulation spectrum coefficients of multiple orders through cascades of wavelet convolutions and modulus operators. It is learnable compared with Mel-scale Frequency...