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20162026
most citedData augmentation versus noise compensation for x- vector speaker recognition systems in noisy environments

2 citations · 3 across the 13 of their papers we have counts for

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cs.SD2016

Sub-vector Extraction and Cascade Post-Processing for Speaker Verification Using MLLR Super-vectors

A. K. Sarkar, C. Barras, V. B. Le +1

In this paper, we propose a speaker-verification system based on maximum likelihood linear regression (MLLR) super-vectors, for which speakers are characterized by m-vectors. These…