Utterance-Style-Dependent Speaker Verification Using Emotional Embedding with Pretrained Models. [PDF]
Sensors (Basel)Biometric authentication using human physiological and behavioral characteristics has been widely adopted, with speaker verification attracting attention due to its convenience and noncontact nature.
Pham Hoang L +4 more
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Attention-Based Temporal-Frequency Aggregation for Speaker Verification. [PDF]
Sensors (Basel), 2022 Convolutional neural networks (CNNs) have significantly promoted the development of speaker verification (SV) systems because of their powerful deep feature learning capability.
Wang M, Feng D, Su T, Chen M.
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Bidirectional Attention for Text-Dependent Speaker Verification. [PDF]
Sensors (Basel), 2020 Automatic speaker verification provides a flexible and effective way for biometric authentication. Previous deep learning-based methods have demonstrated promising results, whereas a few problems still require better solutions.
Fang X, Gao T, Zou L, Ling Z.
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Design and Efficacy of a Speaker Verification Method Combining CNN and Transformer for Secure Access Control. [PDF]
Sensors (Basel)In the rapidly evolving landscape of computer and mobile applications, the demand for secure access control has become increasingly pivotal. This paper introduces a speaker verification method aimed at remotely verifying an individual’s claimed identity,
Li X, Hu X, Niu K, Tuo L.
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Forensic Speaker Verification Using Ordinary Least Squares. [PDF]
Sensors (Basel), 2019 In Brazil, the recognition of speakers for forensic purposes still relies on a subjectivity-based decision-making process through a results analysis of untrustworthy techniques.
Machado TJ +2 more
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Target sample mining with modified activation residual network for speaker verification. [PDF]
PLoS OneIn the domain of speaker verification, Softmax can be used as a backend for multi-classification, but traditional Softmax methods have some limitations that limit performance. During the training phase, Softmax is used for multi-class training, while the
Chaoqun J +4 more
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Beyond fingerprint and voice print: cough sequence sound for identity verification. [PDF]
Npj Health SystTraditional speaker verification systems rely on speech-based features such as fundamental frequency, resonance, and spectral characteristics. In clinical and remote monitoring settings where patients may be unable or unwilling to speak, non-speech ...
Li H +5 more
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Speaker Recognition: Progression and challenges [PDF]
مجلة التربية والعلم, 2021 Speaker recognition is one of the field topics widely used in the field of speech technology, many research works has been conducted and little progress has been made in the past five to six years, and due to the advancement of deep learning techniques ...
Yusra Al-Irahyim, Qasim Mahmood
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A Survey on Text-Dependent and Text-Independent Speaker Verification
IEEE Access, 2022 Speaker verification (SV) aims to detect an individual’s identity from his/her voice. SV has been successfully applied in various areas such as access control, remote service customization, financial transactions, etc.
Youzhi Tu, Weiwei Lin, Man-Wai Mak
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SEMI-AUTOMATIC SPEAKER VERIFICATION SYSTEM [PDF]
Научно-технический вестник информационных технологий, механики и оптики, 2016 Subject of Research. The paper presents a semi-automatic speaker verification system based on comparing of formant values, statistics of phone lengths and melodic characteristics as well. Due to the development of speech technology, there is an increased
E. V. Bulgakova, A. V. Sholokhov
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