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http://hdl.handle.net/10397/76009
Title: | Fast scoring for PLDA with uncertainty propagation via i-vector grouping | Authors: | Lin, WW Mak, MW Chien, JT |
Issue Date: | Sep-2017 | Source: | Computer speech and language, Sept. 2017, v. 45, p. 503-515 | Abstract: | The i-vector/PLDA framework has gained huge popularity in text-independent speaker verification. This approach, however, lacks the ability to represent the reliability of i-vectors. As a result, the framework performs poorly when presented with utterances of arbitrary duration. To address this problem, a method called uncertainty propagation (UP) was proposed to explicitly model the reliability of an i-vector by an utterance-dependent loading matrix. However, the utterance-dependent matrix greatly complicates the evaluation of likelihood scores. As a result, PLDA with UP, or PLDA-UP in short, is far more computational intensive than the conventional PLDA. In this paper, we propose to group i-vectors with similar reliability, and for each group the utterance-dependent loading matrices are replaced by a representative one. This arrangement allows us to pre-compute a set of representative matrices that cover all possible i-vectors, thereby greatly reducing the computational cost of PLDA-UP while preserving its ability in discriminating the reliability of i-vectors. Experiments on NIST 2012 SRE show that the proposed method can perform as good as the PLDA with UP while the scoring time is only 3.18% of it. | Keywords: | Speaker verification I-Vector/PLDA Uncertainty Propagation Duration mismatch |
Publisher: | Academic Press | Journal: | Computer speech and language | ISSN: | 0885-2308 | EISSN: | 1095-8363 | DOI: | 10.1016/j.csl.2017.02.009 | Rights: | © 2017 Elsevier Ltd. All rights reserved. © 2017. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/. The following publication Lin, W. W., Mak, M. W., & Chien, J. T. (2017). Fast scoring for PLDA with uncertainty propagation via i-vector grouping. Computer Speech & Language, 45, 503-515 is available at https://doi.org/10.1016/j.csl.2017.02.009. |
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