Results 11 to 20 of about 220 (167)
Deep Learning-Based Amplitude Fusion for Speech Dereverberation
Discrete Dynamics in Nature and Society, 2020 Mapping and masking are two important speech enhancement methods based on deep learning that aim to recover the original clean speech from corrupted speech. In practice, too large recovery errors severely restrict the improvement in speech quality.
Chunlei Liu, Longbiao Wang, Jianwu Dang
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Signal-Based Performance Evaluation of Dereverberation Algorithms
Journal of Electrical and Computer Engineering, 2010 We address the measurement of reverberation in terms of the (DRR) in the context of the assessment of dereverberation algorithms for which we wish to quantify the level of reverberation before and after processing. The DRR is normally calculated from the
Patrick A. Naylor +2 more
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Subspace Methods for Multimicrophone Speech Dereverberation [PDF]
EURASIP Journal on Advances in Signal Processing, 2003 A novel approach for multimicrophone speech dereverberation is presented. The method is based on the construction of the null subspace of the data matrix in the presence of colored noise, using the generalized singular-value decomposition (GSVD ...
Moonen Marc, Gannot Sharon
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Jointly Optimal Dereverberation and Beamforming [PDF]
ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020 We previously proposed an optimal (in the maximum likelihood sense) convolutional beamformer that can perform simultaneous denoising and dereverberation, and showed its superiority over the widely used cascade of a WPE dereverberation filter and a conventional MPDR beamformer.
Christoph Böddeker +3 more
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A neural network-supported two-stage algorithm for lightweight dereverberation on hearing devices
EURASIP Journal on Audio, Speech, and Music Processing, 2023 A two-stage lightweight online dereverberation algorithm for hearing devices is presented in this paper. The approach combines a multi-channel multi-frame linear filter with a single-channel single-frame post-filter.
Jean-Marie Lemercier +3 more
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Multimicrophone Speech Dereverberation: Experimental Validation
EURASIP Journal on Audio, Speech, and Music Processing, 2007 Dereverberation is required in various speech processing applications such as handsfree telephony and voice-controlled systems, especially when signals are applied that are recorded in a moderately or highly reverberant environment.
Moonen Marc, Eneman Koen
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pykanto: A python library to accelerate research on wild bird song
Methods in Ecology and Evolution, Volume 14, Issue 8, Page 1994-2002, August 2023., 2023 Abstract Studying the vocalisations of wild animals can be a challenge due to the limitations of traditional computational methods, which often are time‐consuming and lack reproducibility. Here, I present pykanto, a new software package that provides a set of tools to build, manage, and explore large sound databases.
Nilo Merino Recalde
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CAAI Transactions on Intelligence Technology, Volume 7, Issue 1, Page 26-33, March 2022., 2022 Abstract Various time‐frequency (T‐F) masks are being applied to sound source localization tasks. Moreover, deep learning has dramatically advanced T‐F mask estimation. However, existing masks are usually designed for speech separation tasks and are suitable only for single‐channel signals.
Hong Liu +4 more
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[Retracted] Serialized Recommendation Technology Based on Deep Neural Network
Wireless Communications and Mobile Computing, Volume 2022, Issue 1, 2022., 2022 Since the construction of brain network is like organic brain organization, profound brain network has high effectiveness and high accuracy in separating data from profound elements, fit for multifacet learning, conceptual component portrayal, cross‐space learning capacity, multisource, heterogeneous data content.
Long Jin, Chia-Huei Wu
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Machine Learning for Predictive Analytics in the Improvement of English Speech Feature Recognition
Mobile Information Systems, Volume 2022, Issue 1, 2022., 2022 The use of deep learning to improve English speaking has seen tremendous development in recent years. This study evaluates the noise that is present in the English speech environment, employs a two‐way search method to select the optimum feature set, and applies a quick correlation filter to remove redundant features in order to increase the accuracy ...
Yan Chen +2 more
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