NDLI: Duration compensation of i-vectors for short duration speaker verification

Content Provider	IET Digital Library
Author	Ma, Jianbo Sethu, Vidhyasaharan Ambikairajah, Eliathamby Lee, Kong Aik
Abstract	The standard i-vector/Gaussian probabilistic linear discriminant analysis (G-PLDA) system does not compensate for duration mismatch, which is a significant confounding factor in short duration speaker verification. A novel duration compensation technique to normalise the distribution mismatch caused by duration variation in the i-vector space is proposed. The proposed technique involves the use of two factor analysers that are tied together to share latent variables for a given speaker as the underlying generative model of the i-vector space. This leads to a transform which maps the original i-vectors onto a latent subspace that is expected to be duration invariant. The proposed method has the advantages that it normalises distribution mismatch while taking into consideration both inter- and intra-speaker variability. Experiments conducted on NIST SRE 2010 database shows that the proposed method leads to 18.54, 15.48 and 8.77% relative improvements when tested on utterances of 10, 5 and 3 s durations, respectively, compared with the best results obtained by either standard i-vector/G-PLDA or the previously proposed twin model G-PLDA.
Starting Page	405
Ending Page	407
Page Count	3
ISSN	00135194
Volume Number	53
e-ISSN	1350911X
Issue Number	Issue 6, Mar (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/el/53/6
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/el.2016.4629
Journal	Electronics Letters
Publisher Date	2017-02-13
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Distribution Mismatch G-PLDA System Gaussian Distribution Gaussian Probabilistic Linear Discriminant Analysis System Gaussian Processes I-Vector Inter-speaker Variability Intra-speaker Variability Novel Duration Compensation Technique Short Duration Speaker Verification Speaker Recognition Speech Processing Technique Speech Recognition And Synthesis Statistics
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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