Results 11 to 20 of about 252,838 (265)
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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Speaker Re-identification with Speaker Dependent Speech Enhancement [PDF]
, 2020 While the use of deep neural networks has significantly boosted speaker recognition performance, it is still challenging to separate speakers in poor acoustic environments.
Hain, Thomas, Huang, Qiang, Shi, Yanpei
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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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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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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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Intelligent Systems with Applications, 2022 Hearing-impaired people face numerous challenges with speech perception in the presence of interfering background noise. To suppress interfering background noise, the common approach widely used is speech enhancement.
Hemangi Shinde, Vibha Vyas
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EURASIP Journal on Advances in Signal Processing, 2017 Acoustic echo cancellation (AEC) is a key speech enhancement technology in speech communication and voice-enabled devices. AEC systems employ adaptive filters to estimate the acoustic echo paths between the loudspeakers and the microphone(s).
Naveen Kumar Desiraju +2 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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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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