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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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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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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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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Two decades of speaker recognition evaluation at the national institute of standards and technology [PDF]
Computer Speech and Language, 2020 Douglas A Reynolds +2 more
exaly +2 more sources
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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Streaming End-to-End Target-Speaker Automatic Speech Recognition and Activity Detection
IEEE Access, 2023 Automatic speech recognition of a target speaker in the presence of interfering speakers remains a challenging issue. One approach to tackle this problem is target-speaker speech recognition, which conditions the recognition process on an embedding that ...
Takafumi Moriya +4 more
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