Results 31 to 40 of about 261,201 (277)
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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SNR-Based Teachers-Student Technique for Speech Enhancement
, 2020 It is very challenging for speech enhancement methods to achieves robust performance under both high signal-to-noise ratio (SNR) and low SNR simultaneously.
Gao, Guanglai +5 more
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Perceptually Motivated Wavelet Packet Transform for Bioacoustic Signal Enhancement [PDF]
, 2008 A significant and often unavoidable problem in bioacoustic signal processing is the presence of background noise due to an adverse recording environment. This paper proposes a new bioacoustic signal enhancement technique which can be used on a wide range
Cohen I. +8 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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Sub-Band Knowledge Distillation Framework for Speech Enhancement
, 2020 In single-channel speech enhancement, methods based on full-band spectral features have been widely studied. However, only a few methods pay attention to non-full-band spectral features.
Gao, Guanglai +5 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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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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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. The existing literature on the speech
Nasir Saleem, Muhammad Irfan Khattak
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, 2018 When video is shot in noisy environment, the voice of a speaker seen in the video can be enhanced using the visible mouth movements, reducing background noise.
Gabbay, Aviv +2 more
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Generic speech enhancement with self-supervised representation space loss
Frontiers in Signal ProcessingSingle-channel speech enhancement is utilized in various tasks to mitigate the effect of interfering signals. Conventionally, to ensure the speech enhancement performs optimally, the speech enhancement has needed to be tuned for each task.
Hiroshi Sato +5 more
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