Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/43678
Title: | Noise robust speaker verification via the fusion of SNR-independent and SNR-dependent PLDA | Authors: | Pang, X Mak, MW |
Issue Date: | Dec-2015 | Source: | International journal of speech technology, Dec. 2015, v. 18, no. 4, p. 633-648 | Abstract: | While i-vectors with probabilistic linear discriminant analysis (PLDA) can achieve state-of-the-art performance in speaker verification, the mismatch caused by acoustic noise remains a key factor affecting system performance. In this paper, a fusion system that combines a multi-condition signal-to-noise ratio (SNR)-independent PLDA model and a mixture of SNR-dependent PLDA models is proposed to make speaker verification systems more noise robust. First, the whole range of SNR that a verification system is expected to operate is divided into several narrow ranges. Then, a set of SNR-dependent PLDA models, one for each narrow SNR range, are trained. During verification, the SNR of the test utterance is used to determine which of the SNR-dependent PLDA models is used for scoring. To further enhance performance, the SNR-dependent and SNR-independent models are fused using linear and logistic regression fusion. The performance of the fusion system and the SNR-dependent system is evaluated on the NIST 2012 speaker recognition evaluation for both noisy and clean conditions. Results show that a mixture of SNR-dependent PLDA models perform better in both clean and noisy conditions. It was also found that the fusion system is more robust than the conventional i-vector/PLDA systems under noisy conditions. | Keywords: | Fusion I-vectors NIST 2012 SRE Noise robustness Probabilistic LDA Speaker verification |
Publisher: | Springer | Journal: | International journal of speech technology | ISSN: | 1381-2416 | DOI: | 10.1007/s10772-015-9310-8 | Rights: | © Springer Science+Business Media New York 2015 This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use(https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms), but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/s10772-015-9310-8 |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Noise_Robust_Speaker.pdf | Pre-Published version | 1.44 MB | Adobe PDF | View/Open |
Page views
107
Last Week
0
0
Last month
4
4
Citations as of Sep 22, 2024
Downloads
42
Citations as of Sep 22, 2024
SCOPUSTM
Citations
2
Last Week
0
0
Last month
Citations as of Sep 26, 2024
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.