Results 31 to 40 of about 41,235 (305)
Interactive Speech and Noise Modeling for Speech Enhancement
Proceedings of the AAAI Conference on Artificial Intelligence, 2021 Speech enhancement is challenging because of the diversity of background noise types. Most of the existing methods are focused on modelling the speech rather than the noise. In this paper, we propose a novel idea to model speech and noise simultaneously in a two-branch convolutional neural network, namely SN-Net.
Chengyu Zheng +4 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
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Temporal Convolutional Network with Frequency Dimension Adaptive Attention for Speech Enhancement
, 2021 Despite much progress, most temporal convolutional networks (TCN) based speech enhancement models are mainly focused on modeling the long-term temporal contextual dependencies of speech frames, without taking into account the distribution information of ...
Qi Song +9 more
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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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A new speech enhancement: speech stream segregation [PDF]
4th International Conference on Spoken Language Processing (ICSLP 1996), 1996 Speech stream segregation is presented as a new speech enhancement method for automatic speech recognition. Two issues are addressed: speech stream segregation from a mixture of sounds, and interfacing speech stream segregation with automatic speech recognition.
Hiroshi G. Okuno +2 more
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Speech Enhancement Using Deep Learning Methods: A Review
Jurnal Elektronika dan Telekomunikasi, 2021 Speech enhancement, which aims to recover the clean speech of the corrupted signal, plays an important role in the digital speech signal processing. According to the type of degradation and noise in the speech signal, approaches to speech enhancement ...
Asri Rizki Yuliani +4 more
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Modulation processing for speech enhancement
, 2015 Many of the traditionally speech enhancement methods reduce noise from corrupted speech by processing the magnitude spectrum in a short-time Fourier analysis-modification-synthesis (AMS) based framework.
Schwerin, B
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A Deep Learning-Based Kalman Filter for Speech Enhancement
, 2020 The existing Kalman filter (KF) suffers from poor estimates of the noise variance and the linear prediction coefficients (LPCs) in real-world noise conditions. This results in a degraded speech enhancement performance.
Roy, Sujan Kumar +5 more
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Archives of Acoustics, 2016 Although various speech enhancement techniques have been developed for different applications, existing methods are limited in noisy environments with high ambient noise levels.
Pengfei SUN, Jun QIN
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