期刊论文、会议论文

Wang, Z.

英文

Advances in Intelligent Systems and Computing

2194-5357

2021

1263

372-381

12th International Conference on Intelligent Networking and Collaborative Systems, INCoS 2020

Advances in Intelligent Networking and Collaborative Systems

31 August 2020 through 2 September 2020

Leonard Barolli<&wdkj&>Kin Fun Li<&wdkj&>Hiroyoshi Miwa

Springer, Cham

978-3-030-57795-7

10.1007/978-3-030-57796-4_36

This research was supported by National Natural Science Foundation of China (No. 61901165, 61501199), Science and Technology Research Project of Hubei Education Department (No. Q20191406), Hubei Natural Science Foundation (No. 2017CFB683), and self-determined research funds of CCNU from the colleges basic research and operation of MOE (No. CCNU20ZT010).

本校为其他机构

In the device source identification task, there is a lot of redundant information in the traditional MFCC, GSV and i-vector features, which affects the accuracy of device source identification. In this paper, in order to extract the key information from the device source, we propose a multi-feature fusion attention mechanism network to achieve improved accuracy. First, the multi-feature fusion attention mechanism network we proposed directly compresses the MFCC, GSV and i-vector features that characterize the source of the device using convolut...