Compensating for Ageing and Quality variation in Speaker Verification
نویسندگان
چکیده
Performing speaker verification in the simultaneous presence of ageing progression and changing speech sample quality is an important, open problem. The issues of ageing and quality variation go hand in hand; the effect of ageing increases with time, while variations in quality are also more likely to be encountered as time passes. In this work we demonstrate the effect of ageing on speaker verification performance, and show the relationship between quality variation and verification score via a range of established quality measures. We employ a stacked classifier framework to combine the output of the baseline verification system with ageing information and quality measures. This new approach to long-term speaker verification allows for a multi-dimensional decision boundary that significantly improves upon the baseline performance. The proposed framework is evaluated on the Trinity College Dublin Speaker Ageing Database.
منابع مشابه
Speaker verification in score-ageing-quality classification space
A challenge in automatic speaker verification is to create a system that is robust to the effects of vocal ageing. To observe the ageing effect, a speaker’s voice must be analysed over a period of time, over which, variation in the quality of the voice samples is likely to be encountered. Thus, in dealing with the ageing problem, the related issue of quality must also be addressed. We present a...
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