Results 11 to 20 of about 32,804 (211)
Speech Enhancement by Multiple Propagation through the Same Neural Network [PDF]
Sensors, 2022 Monaural speech enhancement aims to remove background noise from an audio recording containing speech in order to improve its clarity and intelligibility. Currently, the most successful solutions for speech enhancement use deep neural networks.
Tomasz Grzywalski, Szymon Drgas
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A Speech Enhancement Approach Based on Fusion of Time-Domain and Frequency-Domain Features [PDF]
Jisuanji gongcheng, 2021 To make full use of noisy speech features to improve the speech enhancement performance of deep neural networks, a speech enhancement method based on the fusion of time-domain and frequency-domain features is proposed.First, by using the waveform of ...
YUAN Wenhao, SHI Yunlong, HU Shaodong, LOU Yingxi
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Time-Frequency Domain Speech Enhancement Algorithm Based on Dual-Stage Conv-Transformer [PDF]
Jisuanji gongcheng, 2023 Phase information is crucial for speech enhancement tasks.However，frequency-domain speech enhancement algorithms often have phase mismatch issues.Time-domain speech enhancement algorithms can effectively solve the problem of phase mismatch，but noise and ...
SHEN Xueli, TIAN Guiyuan, JIANG Yanji, MA Linlin
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Speaker-Independent Spectral Enhancement for Bone-Conducted Speech
Algorithms, 2023 Because of the acoustic characteristics of bone-conducted (BC) speech, BC speech can be enhanced to better communicate in a complex environment with high noise.
Liangliang Cheng +4 more
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A Gated Recurrent Neural Network for Causal Speech Enhancement [PDF]
Jisuanji gongcheng, 2022 Traditional speech enhancement methods based on deep learning typically require noncausal network input to improve the modeling ability of the network for noisy speech.However, this input leads to fixed delay and poor real-time performance of the speech ...
LI Jianghe, WANG Mei
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Exploring Multi-Stage GAN with Self-Attention for Speech Enhancement
Applied Sciences, 2023 Multi-stage or multi-generator generative adversarial networks (GANs) have recently been demonstrated to be effective for speech enhancement. The existing multi-generator GANs for speech enhancement only use convolutional layers for synthesising clean ...
Bismark Kweku Asiedu Asante +2 more
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Speech Enhancement Method Based on Quasi Recurrent Neural Network [PDF]
Jisuanji gongcheng, 2020 In the deep learning based speech enhancement model,the Long Short-Term Memory Network(LSTM) can well handle the sequence speech enhancement problem,but the training speed of the model is slow when dealing with speech enhancement problems based on large ...
LOU Yingxi, YUAN Wenhao, PENG Rongqun
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Applied Sciences, 2020 Multi-channel speech coding and enhancement is an indispensable technology in speech communication. In order to verify the effectiveness of multi-channel speech coding and enhancement methods in the research and development, a microphone array speech ...
Rui Cheng, Changchun Bao, Zihao Cui
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Cognitive Computation and Systems, 2021 Speech enhancement is an important preprocessing step in a wide diversity of practical fields related to speech signals, and many signal‐processing methods have already been proposed for speech enhancement.
Yangjie Wei +3 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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