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The Minimum Overlap-Gap Algorithm for Speech Enhancement
IEEE Access, 2022 In this paper, we propose a novel speech enhancement paradigm which can effectively solve the problem of retrieving a desired speech signal in a multi-talker environment. The proposed speech enhancement paradigm involves a three-step procedure consisting
Poul Hoang +3 more
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Vocal Pitch Discrimination in Children with and without Vocal Fold Nodules
Applied Sciences, 2019 Vocal pitch discrimination abilities were compared in sixteen children with vocal fold nodules (CwVN) and sixteen matched controls with typical voices (CwTV).
Elizabeth S. Heller Murray +4 more
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Multi‐stage attention network for monaural speech enhancement
IET Signal Processing, 2023 Although current attention‐based speech enhancement methods have been proven to be capable of significantly improving the noise reduction performance, a bottleneck has arisen in juggling both detailed features and high‐level features: The more attention ...
Kunpeng Wang +4 more
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Scaling Speech Enhancement in Unseen Environments with Noise Embeddings [PDF]
, 2018 We address the problem of speech enhancement generalisation to unseen environments by performing two manipulations. First, we embed an additional recording from the environment alone, and use this embedding to alter activations in the main enhancement ...
Han, Jing, Keren, Gil, Schuller, Björn
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Two-Stage Single-Channel Speech Enhancement with Multi-Frame Filtering
Applied Sciences, 2023 Speech enhancement has been extensively studied and applied in the fields of automatic speech recognition (ASR), speaker recognition, etc. With the advances of deep learning, attempts to apply Deep Neural Networks (DNN) to speech enhancement have ...
Shaoxiong Lin +2 more
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Rehaussement du signal de parole par EMD et opérateur de Teager-Kaiser [PDF]
, 2014 The authors would like to thank Professor Mohamed Bahoura from Universite de Quebec a Rimouski for fruitful discussions on time adaptive thresholdingIn this paper a speech denoising strategy based on time adaptive thresholding of intrinsic modes ...
BOUDRAA, Abdel-Ouahab +2 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.
Elena Verdú +2 more
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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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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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