Results 11 to 20 of about 3,069 (260)
Data Augmentation Enhanced Speaker Enrollment for Text-dependent Speaker Verification [PDF]
2020 3rd International Conference on Energy, Power and Environment: Towards Clean Energy Technologies, 2021 Data augmentation is commonly used for generating additional data from the available training data to achieve a robust estimation of the parameters of complex models like the one for speaker verification (SV), especially for under-resourced applications.
Achintya Kumar Sarkar +3 more
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End-to-end text-dependent speaker verification [PDF]
2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016 In this paper we present a data-driven, integrated approach to speaker verification, which maps a test utterance and a few reference utterances directly to a single score for verification and jointly optimizes the system's components using the same evaluation protocol and metric as at test time.
Georg Heigold +3 more
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IEEE Access, 2022 In the field of speaker verification (SV), the development of noise-robust systems is a challenge for their deployment in real-world environments. Noise variability compensation is a common strategy for increasing the robustness to noise variations.
Sunghyun Yoon
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Pseudo-Phoneme Label Loss for Text-Independent Speaker Verification
Applied Sciences, 2022 Compared with text-independent speaker verification (TI-SV) systems, text-dependent speaker verification (TD-SV) counterparts often have better performance for their efficient utilization of speech content information. On this account, some TI-SV methods
Mengqi Niu +4 more
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Acoustics, 2023 Deep representation learning has gained significant momentum in advancing text-dependent speaker verification (TD-SV) systems. When designing deep neural networks (DNN) for extracting bottleneck (BN) features, the key considerations include training ...
Achintya Kumar Sarkar, Zheng-Hua Tan
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IEEE Access, 2023 Temporal dynamic convolution neural networks (TDY-CNNs) extract speaker embeddings considering the time-varying characteristics of speech and improve text-independent speaker verification performance.
Seong-Hu Kim, Hyeonuk Nam, Yong-Hwa Park
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Evaluating the Performance of Speaker Recognition Solutions in E-Commerce Applications
Sensors, 2021 Two important tasks in many e-commerce applications are identity verification of the user accessing the system and determining the level of rights that the user has for accessing and manipulating system’s resources.
Olja Krčadinac +2 more
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Regularized Within-Class Precision Matrix Based PLDA in Text-Dependent Speaker Verification
Applied Sciences, 2020 In the field of speaker verification, probabilistic linear discriminant analysis (PLDA) is the dominant method for back-end scoring. To estimate the PLDA model, the between-class covariance and within-class precision matrices must be estimated from ...
Sung-Hyun Yoon +2 more
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Efficient Invariant Features for Sensor Variability Compensation in Speaker Recognition [PDF]
, 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 ...
Abderrezak Guessoum +5 more
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Short-time speaker verification with different speaking style utterances.
PLoS ONE, 2020 In recent years, great progress has been made in the technical aspects of automatic speaker verification (ASV). However, the promotion of ASV technology is still a very challenging issue, because most technologies are still very sensitive to new, unknown
Hongwei Mao +5 more
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