Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/107242
Title: | Using regularized Fisher Discriminant Analysis to improve the performance of Gaussian Supervector in session and device identification | Authors: | Jiang, Y Leung, FHF |
Issue Date: | 2017 | Source: | In Proceedings of 2017 International Joint Conference on Neural Networks (IJCNN), 14-19 May 2017, Anchorage, AK, USA | Abstract: | In this paper, we propose Regularized Fisher Discriminant Analysis (RFDA) as a projection method applied on Gaussian Supervector (GSV). GSV was originally applied on speaker recognition and verification, and has exhibited good performance. Recently GSV has also been applied in audio forensics area, such as recording device identification. It has been shown that GSV can also capture useful information related to the recording device. In this paper, we show that GSV can also be applied in telephone session identification. However, although GSV can capture useful information for different identification purposes, the performance of the raw GSV may not be so good. Thus, we apply RFDA-based projection method on the raw GSV, and find that this projection method can significantly improve the performance of the raw GSV, in both telephone session identification and recording device identification tasks. | Keywords: | Audio forensics Projected Gaussian Supervector Recording device identification Regularized Fisher Discriminant Analysis Telephone session identification |
Publisher: | Institute of Electrical and Electronics Engineers | ISBN: | 978-1-5090-6182-2 (Electronic) 978-1-5090-6183-9 (Print on Demand(PoD)) |
DOI: | 10.1109/IJCNN.2017.7965921 | Description: | 2017 International Joint Conference on Neural Networks (IJCNN), 14-19 May 2017, Anchorage, AK, USA | Rights: | ©2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The following publication F. H. F. Leung and Y. Jiang, "Using regularized fisher discriminant analysis to improve the performance of Gaussian supervector in session and device identification," 2017 International Joint Conference on Neural Networks (IJCNN), Anchorage, AK, USA, 2017, pp. 705-712 is available at https://doi.org/10.1109/IJCNN.2017.7965921. |
Appears in Collections: | Conference Paper |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Leung_Using_Regularized_Fisher.pdf | 735.62 kB | Adobe PDF | View/Open |
Page views
7
Citations as of Jun 30, 2024
Downloads
2
Citations as of Jun 30, 2024
SCOPUSTM
Citations
8
Citations as of Jun 21, 2024
![](/image/google_scholar.jpg)
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.