Results 1 to 10 of about 2,562 (160)
Cortical adaptation to sound reverberation [PDF]
eLife, 2022 In almost every natural environment, sounds are reflected by nearby objects, producing many delayed and distorted copies of the original sound, known as reverberation.
Aleksandar Z Ivanov +4 more
doaj +2 more sources
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
doaj +2 more sources
Deep-Learning Framework for Efficient Real-Time Speech Enhancement and Dereverberation [PDF]
SensorsDeep learning has revolutionized speech enhancement, enabling impressive high-quality noise reduction and dereverberation. However, state-of-the-art methods often demand substantial computational resources, hindering their deployment on edge devices and ...
Tomer Rosenbaum +3 more
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A Robust Bilinear Framework for Real-Time Speech Separation and Dereverberation in Wearable Augmented Reality [PDF]
SensorsThis paper presents a bilinear framework for real-time speech source separation and dereverberation tailored to wearable augmented reality devices operating in dynamic acoustic environments.
Alon Nemirovsky +2 more
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Triple-0: Zero-shot denoising and dereverberation on an end-to-end frozen anechoic speech separation network. [PDF]
PLoS ONESpeech enhancement is crucial both for human and machine listening applications. Over the last decade, the use of deep learning for speech enhancement has resulted in tremendous improvement over the classical signal processing and machine learning ...
Sania Gul +2 more
doaj +3 more sources
On the importance of power compression and phase estimation in monaural speech dereverberation [PDF]
JASA Express Letters, 2021 Previous studies have shown the importance of introducing power compression on both feature and target when only the magnitude is considered in the dereverberation task.
Andong Li +3 more
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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
wiley +1 more source
Crossband Filtering for Weighted Prediction Error-Based Speech Dereverberation
Applied Sciences, 2023 Weighted prediction error (WPE) is a linear prediction-based method extensively used to predict and attenuate the late reverberation component of an observed speech signal.
Tomer Rosenbaum +2 more
doaj +1 more source
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
wiley +1 more source
[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
wiley +1 more source