Results 11 to 20 of about 492,976 (275)
Efficient Invariant Features for Sensor Variability Compensation in Speaker Recognition [PDF]
Sensors, 2014 In this paper, we investigate the use of invariant features for speaker recognition. Owing to their characteristics, these features are introduced to cope with the difficult and challenging problem of sensor variability and the source of performance ...
Abdennour Alimohad +2 more
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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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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
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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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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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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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Cost-Sensitive Learning for Emotion Robust Speaker Recognition [PDF]
The Scientific World Journal, 2014 In the field of information security, voice is one of the most important parts in biometrics. Especially, with the development of voice communication through the Internet or telephone system, huge voice data resources are accessed. In speaker recognition,
Dongdong Li, Yingchun Yang, Weihui Dai
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, 2013 Ve své bakalářské práci se věnuji problému rozpoznávání mluvčího. Tato práce obsahuje základní teorie k tomuto tématu. Teorie je zaměřena na výpočet parametrů pro rozpoznávání mluvčího a na popis postupu při rozpoznávání mluvčího. Jako hlavní parametry v
Kašpar, Ladislav
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, 2005 Speaker recognition is basically divided into speaker identification and speaker verification. Verification is the task of automatically determining if a person really is the person he or she claims to be. This technology can be used as a biometric feature for verifying the identity of a person in applications like banking by telephone and voice mail ...
Mølgaard, Lasse Lohilahti +1 more
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A Proposed Speaker Recognition Method Based on Long-Term Voice Features and Fuzzy Logic [PDF]
Engineering and Technology Journal, 2021 Speaker recognition depends on specific predefined steps. The most important steps are feature extraction and features matching. In addition, the category of the speaker voice features has an impact on the recognition process.
Iman H. Hadi, Alia K. Abdul-Hassan
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