Results 21 to 30 of about 492,976 (275)
Speaker Recognition using Random Forest [PDF]
ITM Web of Conferences, 2021 Speaker identification has become a mainstream technology in the field of machine learning that involves determining the identity of a speaker from his/her speech sample.
Khadar Nawas K +2 more
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Robust Speaker Recognition Using Speech Enhancement And Attention Model [PDF]
, 2020 In this paper, a novel architecture for speaker recognition is proposed by cascading speech enhancement and speaker processing. Its aim is to improve speaker recognition performance when speech signals are corrupted by noise.
Hain, Thomas, Huang, Qiang, Shi, Yanpei
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Variational autoencoder for prosody-based speaker recognition
ETRI Journal, 2023 This paper describes a novel end-to-end deep generative model-based speaker recognition system using prosodic features. The usefulness of variational autoencoders (VAE) in learning the speaker-specific prosody representations for the speaker recognition ...
Starlet Ben Alex, Leena Mary
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Application of Split Residual Multilevel Attention Network in Speaker Recognition
IEEE Access, 2023 Current speaker recognition systems are mainly for the combined application of network architectures and attention mechanisms, however, lightweight networks are not able to extract frame-level features of speaker speech well, and deeper and wider ...
Jiji Wang +4 more
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Automatic Speaker Recognition based on Gabor Features and Convolutional Neural Networks [PDF]
مجله مدل سازی در مهندسی, 2023 Human voice contains characteristics such as: ethnicity, gender, feelings, age and other information, and speaker recognition identifies people based on their voice.
Abdolreza Rashno +2 more
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IEEE Access, 2023 While extensive research has been conducted in the field of biometrics, particularly in face and fingerprint recognition, remote speaker recognition has yet to gain global acceptance due to challenges related to accuracy and data integrity.
Nilashree Wankhede, Sushama Wagh
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WAVELETS FOR SPEAKER RECOGNITION USING GMM CLASSIFIER
International Journal of Advances in Signal and Image Sciences, 2017 Speaker recognition plays an important role in a biometric based identification of the person using the information available in their speech signals.
Keerthi Anand V D
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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.
Bonstre, Jean-Francois +5 more
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NPLDA: A Deep Neural PLDA Model for Speaker Verification
, 2020 The state-of-art approach for speaker verification consists of a neural network based embedding extractor along with a backend generative model such as the Probabilistic Linear Discriminant Analysis (PLDA).
Ganapathy, Sriram +2 more
core +1 more source