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Exploration of Local Variability in Text-Independent Speaker Verification

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Abstract

Total variability model has shown to be effective for text-independent speaker verification. It provisions a tractable way to estimate the so-called i-vector, which describes the speaker and session variability rendered in a whole utterance. In order to extract the local session variability that is neglected by an i-vector, local variability models were proposed, including the Gaussian- and the dimension-oriented local variability models. This paper presents a consolidated study of the total and local variability models and gives a full comparison between them under the same framework. Besides, new extensions are proposed for the existing local variability models. The comparison between the total variability model and the local variability models is fulfilled with the experiments on NIST SRE’08 and SRE’10 datasets. Furthermore, in the experiments, the dimension-oriented local variability models show their capability to capture the session variability which is complementary to that estimated by the total variability model.

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Acknowledgments

The work of Liping Chen was partially supported by the National Nature Science Foundation of China (Grant No. 61273264) and the electronic information industry development fund of China (Grant No. 2013-472).

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Authors and Affiliations

  1. EEIS, USTC, Mailbox 4, Hefei, China

    Liping Chen, Wu Guo & Li-Rong Dai

  2. Singapore, 138632, Singapore

    Kong Aik Lee, Bin Ma & Haizhou Li

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  1. Liping Chen
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  2. Kong Aik Lee
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  3. Bin Ma
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  4. Wu Guo
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  5. Haizhou Li
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  6. Li-Rong Dai
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Correspondence to Li-Rong Dai.

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Chen, L., Lee, K.A., Ma, B. et al. Exploration of Local Variability in Text-Independent Speaker Verification. J Sign Process Syst 82, 217–228 (2016). https://doi.org/10.1007/s11265-015-0997-1

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  • DOI: https://doi.org/10.1007/s11265-015-0997-1

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