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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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Speaker Normalization for Self-Supervised Speech Emotion Recognition [PDF]
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2022 Large speech emotion recognition datasets are hard to obtain, and small datasets may contain biases. Deep-net-based classifiers, in turn, are prone to exploit those biases and find shortcuts such as speaker characteristics. These shortcuts usually harm a
Itai Gat +4 more
semanticscholar +1 more source
Automatic Speaker Recognition Using Mel-Frequency Cepstral Coefficients Through Machine Learning
Computers Materials & Continua, 2022 : Automatic speaker recognition (ASR) systems are the field of Human-machine interaction and scientists have been using feature extraction and feature matching methods to analyze and synthesize these signals.
Ugur Ayvaz +5 more
semanticscholar +1 more source
Speaker Recognition Systems in the Last Decade – A Survey [PDF]
Engineering and Technology Journal, 2021 Speaker Recognition Defined by the process of recognizing a person by his\her voice through specific features that extract from his\her voice signal. An Automatic Speaker recognition (ASP) is a biometric authentication system.
Ahmed M. Ahmed, Aliaa K. Hassan
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Deep ATC speaker recognition based on voiceprint aggregation [PDF]
Zhihui kongzhi yu fangzhen, 2023 For the problem of ATC speaker recognition, a method based on voiceprint feature aggregation is proposed, which could distinguish different speakers from an audio stream.
LI Yin-xuan, TANG Wen-yi, YANG Tao, WANG Xue-chuan, LI Cheng-xiang
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Speaker Recognition from Raw Waveform with SincNet [PDF]
Spoken Language Technology Workshop, 2018 Deep learning is progressively gaining popularity as a viable alternative to i-vectors for speaker recognition. Promising results have been recently obtained with Convolutional Neural Networks (CNNs) when fed by raw speech samples directly.
M. Ravanelli, Yoshua Bengio
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Learning to Fool the Speaker Recognition [PDF]
ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020 Accepted by ...
Jiguo Li 0002 +6 more
openaire +2 more sources
Adversarial Attack and Defense Strategies of Speaker Recognition Systems: A Survey
Electronics, 2022 Speaker recognition is a task that identifies the speaker from multiple audios. Recently, advances in deep learning have considerably boosted the development of speech signal processing techniques. Speaker or speech recognition has been widely adopted in
Hao Tan +5 more
semanticscholar +1 more source
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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