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Speaker verification with long-term ageing data
TLDR
The change experienced by the voice due to ageing must be considered in the development of a long-term speaker verification system. Expand
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Language recognition using deep neural networks with very limited training data
TLDR
This study proposes a novel deep neural network (DNN) based approach to language identification (LID) for the NIST 2015 Language Recognition (LRE) i-Vector Machine Learning Challenge. Expand
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Auditory detectability of vocal ageing and its effect on forensic automatic speaker recognition
TLDR
This paper presents results of a human listener test designed to evaluate the detectability of vocal ageing in forensic automatic speaker recognition over increasing intervals of up to 30 years. Expand
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Lower and upper bounds for approximation of the Kullback-Leibler divergence between Gaussian Mixture Models
TLDR
We propose lower and upper bounds for the Kullback-Leibler divergence, which lead to a new approximation and interesting insights into previously proposed approximations. Expand
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Effects of Long-Term Ageing on Speaker Verification
TLDR
We examine the effect of long-term vocal ageing on a speaker verification system. Expand
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Effects of cognitive impairment on prosodic parameters of speech production planning in multiple sclerosis
Cognitive impairment (CI) affects 40-65% of patients with multiple sclerosis (MS). CI can have a negative impact on a patient's everyday activities, such as engaging in conversations. SpeechExpand
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Joint information from nonlinear and linear features for spoofing detection: An i-vector/DNN based approach
TLDR
An automatic spoofing detection approach using an i-vector framework is proposed to detect spoofing attacks in automatic speaker verification. Expand
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A comparison of auditory features for robust speech recognition
TLDR
This paper presents a detailed comparison of the performance of two auditory based feature extraction algorithms for automatic speech recognition (ASR). Expand
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Eigenageing compensation for speaker verification
TLDR
A new approach to improving speaker verification performance in the presence of long-term ageing, eigenageing compensation, is presented in this paper. Expand
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Effect of long-term ageing on i-vector speaker verification
TLDR
An i-vector speaker verification framework is used to evaluate the impact of long-term ageing on state-of-the-art speaker verification. Expand
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