Results 21 to 30 of about 30,269 (257)
Cued Speech Enhances Speech-in-Noise Perception [PDF]
The Journal of Deaf Studies and Deaf Education, 2019 Speech perception in noise remains challenging for Deaf/Hard of Hearing people (D/HH), even fitted with hearing aids or cochlear implants. The perception of sentences in noise by 20 implanted or aided D/HH subjects mastering Cued Speech (CS), a system of hand gestures complementing lip movements, was compared with the perception of 15 typically hearing
Bayard, Clémence +5 more
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International Journal of Interactive Multimedia and Artificial Intelligence, 2020 Many forms of human communication exist; for instance, text and nonverbal based. Speech is, however, the most powerful and dexterous form for the humans.
Nasir Saleem +2 more
doaj +1 more source
Causal Speech Enhancement Model Based on Deep Neural Network [PDF]
Jisuanji gongcheng, 2019 The traditional speech enhancement method based on Deep Neural Network (DNN) has a fixed delay in processing due to its non-causal input,which is unsuitable for the real-time applications.To solve this problem,studying from the perspective of network ...
YUAN Wenhao, LIANG Chunyan, XIA Bin
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Speech Perception Improvement Algorithm Based on a Dual-Path Long Short-Term Memory Network
Bioengineering, 2023 Current deep learning-based speech enhancement methods focus on enhancing the time–frequency representation of the signal. However, conventional methods can lead to speech damage due to resolution mismatch problems that emphasize only specific ...
Hyeong Il Koh +2 more
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Visual Speech Enhancement [PDF]
Interspeech 2018, 2018 When video is shot in noisy environment, the voice of a speaker seen in the video can be enhanced using the visible mouth movements, reducing background noise. While most existing methods use audio-only inputs, improved performance is obtained with our visual speech enhancement, based on an audio-visual neural network.
Gabbay, Aviv +2 more
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Improving GANs for Speech Enhancement [PDF]
IEEE Signal Processing Letters, 2020 This letter has been accepted for publication in IEEE Signal Processing ...
Huy Phan +6 more
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Disentangled Feature Learning for Noise-Invariant Speech Enhancement
Applied Sciences, 2019 Most of the recently proposed deep learning-based speech enhancement techniques have focused on designing the neural network architectures as a black box.
Soo Hyun Bae, Inkyu Choi, Nam Soo Kim
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Journal of Electrical and Computer Engineering, 2022 A deep learning speech enhancement algorithm based on dynamic hybrid feature and adaptive mask and DSP implementation is proposed in this paper, which solves the problem of feature loss and improves the performance of speech enhancement.
Jie Yang, Yachun Tang
doaj +1 more source
Incoherent Discriminative Dictionary Learning for Speech Enhancement
Journal of Telecommunications and Information Technology, 2018 Speech enhancement is one of the many challenging tasks in signal processing, especially in the case of nonstationary speech-like noise. In this paper a new incoherent discriminative dictionary learning algorithm is proposed to model both speech and ...
Dima Shaheen +2 more
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Multichannel Speech Enhancement Without Beamforming
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022 Deep neural networks are often coupled with traditional spatial filters, such as MVDR beamformers for effectively exploiting spatial information. Even though single-stage end-to-end supervised models can obtain impressive enhancement, combining them with a traditional beamformer and a DNN-based post-filter in a multistage processing provides additional
Pandey, Asutosh +5 more
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