小置扬声器验证系统中PLDA与传统PLDA混合系统的性能评价

2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE) Pub Date : 2017-04-01 DOI:10.1109/CCECE.2017.7946645

Qianhui Wan, M. Bouchard

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引用次数: 0

摘要

本文比较了在多噪声和多信噪比条件下使用信噪比相关和信噪比无关的混合概率线性判别分析(PLDA)与传统PLDA在小集扬声器验证系统中的应用。结果表明，在多信噪比条件下，传统PLDA具有更好的鲁棒性。对测试语音长度的影响进行了研究，发现长度为5秒的语音信号达到了可接受的效果。

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Performance evaluation of mixtures of PLDA and conventional PLDA for a small-set speaker verification system

This paper compares the use of signal to noise ratio (SNR)-dependent and SNR-independent mixtures of probabilistic linear discriminant analysis (PLDA) versus conventional PLDA, under multi-noise and multi-SNR conditions for a small-set speaker verification system. Results indicate that conventional PLDA is more robust under multi-SNR conditions. The effect of the testing speech length is also examined and speech signals with a length of 5 seconds were found to achieve acceptable results.

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2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE)

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