A Speaker Verification Method Based on TDNN–LSTMP
Sign Up to like & getrecommendations! Published in 2019 at "Circuits, Systems, and Signal Processing"
DOI: 10.1007/s00034-019-01092-3
Abstract: In speaker recognition, a robust recognition method is essential. This paper proposes a speaker verification method that is based on the time-delay neural network (TDNN) and long short-term memory with recurrent project layer (LSTMP) model… read more here.
Keywords: speaker; tdnn lstmp; method; speaker verification ... See more keywords
Task-Driven Variability Model for Speaker Verification
Sign Up to like & getrecommendations! Published in 2020 at "Circuits, Systems, and Signal Processing"
DOI: 10.1007/s00034-019-01315-7
Abstract: The total variability model (TVM)/probabilistic linear discriminant analysis (PLDA) framework is one of the most popular methods for speaker verification. In this framework, the i-vector representations are first extracted from utterances via an estimated TVM… read more here.
Keywords: plda; variability model; speaker verification; variability ... See more keywords
A study on the effects of using short utterance length development data in the design of GPLDA speaker verification systems
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Speech Technology"
DOI: 10.1007/s10772-017-9402-8
Abstract: This paper studies the performance degradation of Gaussian probabilistic linear discriminant analysis (GPLDA) speaker verification system, when only short-utterance data is used for speaker verification system development. Subsequently, a number of techniques, including utterance partitioning and… read more here.
Keywords: utterance; gplda; system; speaker verification ... See more keywords
Speaker-specific-text based speaker verification system using spectral and phase based features
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Speech Technology"
DOI: 10.1007/s10772-017-9416-2
Abstract: In speaker recognition tasks, one of the reasons for reduced accuracy is due to closely resembling speakers in the acoustic space. In order to increase the discriminative power of the classifier, the system must be… read more here.
Keywords: specific text; phase; speaker verification; speaker ... See more keywords
Automatic speaker verification systems and spoof detection techniques: review and analysis
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Speech Technology"
DOI: 10.1007/s10772-021-09876-2
Abstract: Automatic speaker verification (ASV) systems are enhanced enough, that industry is attracted to use them practically in security systems. However, vulnerability of these systems to various direct and indirect access attacks weakens the power of… read more here.
Keywords: analysis; automatic speaker; speaker verification; asv systems ... See more keywords
Sample-specific late classifier fusion for speaker verification
Sign Up to like & getrecommendations! Published in 2017 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-017-5114-y
Abstract: Due to the mismatch between training and test conditions, speaker verification in real environments, continues to be a challenging problem. An effective way of improving such a system is taking advantage of multiple speaker verification… read more here.
Keywords: late classifier; speaker verification; specific late; sample specific ... See more keywords
Linear prediction residual features for automatic speaker verification anti-spoofing
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DOI: 10.1007/s11042-017-5181-0
Abstract: Automatic speaker verification (ASV) systems are highly vulnerable against spoofing attacks. Anti-spoofing, determining whether a speech signal is natural/genuine or spoofed, is very important for improving the reliability of the ASV systems. Spoofing attacks using… read more here.
Keywords: anti spoofing; linear prediction; automatic speaker; speaker verification ... See more keywords
Enhanced forensic speaker verification performance using the ICA-EBM algorithm under noisy and reverberant environments
Sign Up to like & getrecommendations! Published in 2020 at "Evolutionary Intelligence"
DOI: 10.1007/s12065-020-00406-8
Abstract: Forensic speaker verification performance reduces significantly under high levels of noise and reverberation. Multiple channel speech enhancement algorithms, such as independent component analysis by entropy bound minimization (ICA-EBM), can be used to improve noisy forensic… read more here.
Keywords: ica ebm; speaker verification; forensic speaker; verification performance ... See more keywords
Dilated residual networks with multi-level attention for speaker verification
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.06.079
Abstract: Abstract With the development of deep learning techniques, speaker verification (SV) systems based on deep neural network (DNN) achieve competitive performance compared with traditional i-vector-based works. Previous DNN-based SV methods usually employ time-delay neural network,… read more here.
Keywords: residual networks; speaker verification; level attention; dilated residual ... See more keywords
Duration compensation of i-vectors for short duration speaker verification
Sign Up to like & getrecommendations! Published in 2017 at "Electronics Letters"
DOI: 10.1049/el.2016.4629
Abstract: The standard i-vector/Gaussian probabilistic linear discriminant analysis (G-PLDA) system does not compensate for duration mismatch, which is a significant confounding factor in short duration speaker verification. A novel duration compensation technique to normalise the distribution… read more here.
Keywords: speaker verification; short duration; duration speaker; duration ... See more keywords
Disentangled Speaker and Nuisance Attribute Embedding for Robust Speaker Verification
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3012893
Abstract: Over the recent years, various deep learning-based embedding methods have been proposed and have shown impressive performance in speaker verification. However, as in most of the classical embedding techniques, the deep learning-based methods are known… read more here.
Keywords: speaker verification; speaker; nuisance; learning based ... See more keywords