Results 31 to 40 of about 252,838 (265)
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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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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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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, 2018 Humans tend to change their way of speaking when they are immersed in a noisy environment, a reflex known as Lombard effect. Current speech enhancement systems based on deep learning do not usually take into account this change in the speaking style ...
Jensen, Jesper +3 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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Deep Neural Networks for Speech Enhancement in Complex-Noisy Environments.
International Journal of Interactive Multimedia and Artificial Intelligence, 2020 In this paper, we considered the problem of the speech enhancement similar to the real-world environments where several complex noise sources simultaneously degrade the quality and intelligibility of a target speech.
Nasir Saleem, Muhammad Irfan Khattak
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SEGAN: Speech Enhancement Generative Adversarial Network
, 2017 Current speech enhancement techniques operate on the spectral domain and/or exploit some higher-level feature. The majority of them tackle a limited number of noise conditions and rely on first-order statistics.
Bonafonte, Antonio +2 more
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Speech Enhancement Using Harmonic Regeneration [PDF]
Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005., 2006 This paper addresses the problem of single microphone speech enhancement in noisy environments. Common short-time noise reduction techniques introduce harmonic distortion in enhanced speech because of the non reliability of estimators for small signal-to-noise ratios.
Plapous, Cyril +2 more
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