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A Survey of Speaker Recognition: Fundamental Theories, Recognition Methods and Opportunities
IEEE Access, 2021 Humans can identify a speaker by listening to their voice, over the telephone, or on any digital devices. Acquiring this congenital human competency, authentication technologies based on voice biometrics, such as automatic speaker recognition (ASR), have
Muhammad Mohsin Kabir +4 more
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Two decades of speaker recognition evaluation at the national institute of standards and technology [PDF]
Computer Speech and Language, 2020 The National Institute of Standards and Technology has been conducting Speaker Recognition Evaluations (SREs) for over 20 years. This article provides an overview of the practice of evaluating speaker recognition technology as it has evolved during this ...
Craig S Greenberg +2 more
exaly +3 more sources
Deep Speaker Recognition: Process, Progress, and Challenges
IEEE Access, 2021 Speaker recognition is related to human biometrics dealing with the identification of speakers from their speech. Speaker recognition is an active research area and being widely investigated using artificially intelligent mechanisms.
Abu Quwsar Ohi +3 more
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VoxCeleb2: Deep Speaker Recognition [PDF]
Interspeech 2018, 2018 The objective of this paper is speaker recognition under noisy and unconstrained conditions. We make two key contributions. First, we introduce a very large-scale audio-visual speaker recognition dataset collected from open-source media. Using a fully automated pipeline, we curate VoxCeleb2 which contains over a million utterances from over 6,000 ...
Chung, J, Nagrani, A, Zisserman, A
openaire +5 more sources
FMRI-based identity classification accuracy in left temporal and frontal regions predicts speaker recognition performance [PDF]
Scientific Reports, 2021 Speaker recognition is characterized by considerable inter-individual variability with poorly understood neural bases. This study was aimed at (1) clarifying the cerebral correlates of speaker recognition in humans, in particular the involvement of ...
Virginia Aglieri +4 more
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Self-Supervised Open-Set Speaker Recognition with Laguerre–Voronoi Descriptors [PDF]
SensorsSpeaker recognition is a challenging problem in behavioral biometrics that has been rigorously investigated over the last decade. Although numerous supervised closed-set systems inherit the power of deep neural networks, limited studies have been made on
Abu Quwsar Ohi, Marina L. Gavrilova
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Contrastive Speaker Representation Learning with Hard Negative Sampling for Speaker Recognition [PDF]
SensorsSpeaker recognition is a technology that identifies the speaker in an input utterance by extracting speaker-distinguishable features from the speech signal.
Changhwan Go +4 more
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ResSKNet-SSDP: Effective and Light End-To-End Architecture for Speaker Recognition [PDF]
Sensors, 2023 In speaker recognition tasks, convolutional neural network (CNN)-based approaches have shown significant success. Modeling the long-term contexts and efficiently aggregating the information are two challenges in speaker recognition, and they have a ...
Fei Deng +4 more
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Speaker recognition: a tutorial [PDF]
Proceedings of the IEEE, 1997 A tutorial on the design and development of automatic speaker-recognition systems is presented. Automatic speaker recognition is the use of a machine to recognize a person from a spoken phrase. These systems can operate in two modes: to identify a particular person or to verify a person's claimed identity.
exaly +2 more sources
Forensic speaker recognition [PDF]
IEEE Signal Processing Magazine, 2009 Looking at the different points highlighted in this article, we affirm that forensic applications of speaker recognition should still be taken under a necessary need for caution. Disseminating this message remains one of the most important responsibilities of speaker recognition researchers.
J P Campbell +2 more
exaly +4 more sources