Results 81 to 90 of about 559,293 (328)
Advanced Functional Materials, EarlyView.The hidden role of Cd segregation at grain boundaries is revealed in p‐type Mg3Sb2 by atom probe tomography and other advanced characterizations. Grain boundary Cd enrichment suppresses the SbMg+ hole‐killer formation and lowers potential barriers, enhancing electrical conductivity.
Zhou Li +12 more
wiley +1 more source
Deep Learning for Audio Signal Processing
, 2019 Given the recent surge in developments of deep learning, this article provides a review of the state-of-the-art deep learning techniques for audio signal processing.
Chang, Shuo-yiin +5 more
core +1 more source
Visually Guided Sound Source Separation and Localization using Self-Supervised Motion Representations [PDF]
, 2021 Lingyu Zhu, Esa Rahtu
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Musical instrument sound source separation
, 2009 The structured arrangement of sounds in musical pieces, results in the unique creation of complex acoustic mixtures. The analysis of these mixtures, with the objective of estimating the individual sounds which constitute them, is known as musical instrument sound source separation, and has applications in audio coding, audio restoration, music ...
openaire +2 more sources
Advanced Functional Materials, EarlyView.InSb, a narrow‐bandgap semiconductor with high carrier mobility, is promising for thermoelectric energy conversion but suffers from high lattice thermal conductivity and strong bipolar conduction. Here, in situ interface engineering using Co2O3 nanoprecursors forms hierarchical CoSbx/In2O3/CoSb3 heterostructures that enhance phonon scattering and ...
Jiwu Xin +10 more
wiley +1 more source
Underdetermined Source Separation Based on Generalized Multichannel Variational Autoencoder
IEEE Access, 2019 This paper deals with a multichannel audio source separation problem under underdetermined conditions. Multichannel non-negative matrix factorization (MNMF) is a powerful method for underdetermined audio source separation, which adopts the NMF concept to
Shogo Seki +4 more
doaj +1 more source
Blind Source Separation with Optimal Transport Non-negative Matrix Factorization
, 2018 Optimal transport as a loss for machine learning optimization problems has recently gained a lot of attention. Building upon recent advances in computational optimal transport, we develop an optimal transport non-negative matrix factorization (NMF ...
Blondel, Mathieu +3 more
core +1 more source
Multi-Channel Masking with Learnable Filterbank for Sound Source Separation [PDF]
, 2023 Dai Wang +2 more
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Separation of harmonic sound sources using sinusoidal modeling [PDF]
2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100), 2002 In this paper, an approach for the separation of harmonic sounds is described. The overall system consists of three components. Sinusoidal modeling is first used to analyze the mixed signal and to obtain the frequencies and amplitudes of sinusoidal spectral components. Then a new method is proposed for the calculation of the perceptual distance between
Tuomas Virtanen, Anssi Klapuri
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A Non‐Reciprocal Architected Porous Medium
Advanced Functional Materials, EarlyView.ABSTRACT In several fluid flow, energy‐dumping, and energy‐harvesting applications, a dominant flow direction or dominant resistance direction is desirable. In this study, we propose a simple modular geometry that doubles flow resistance in one direction relative to the opposite direction, while maintaining laminar viscous flow.
Clément Vezies +2 more
wiley +1 more source