Results 31 to 40 of about 10,574,194 (321)
Singular Spectrum Analysis for Source Separation in Drone-Based Audio Recording
IEEE Access, 2021 The usage of drones is increasingly spreading into new fields of application, ranging from agriculture to security. One of these new applications is sound recording in areas of difficult access.
Francisco Garcia Encinas +5 more
doaj +1 more source
Meta-Learning Extractors for Music Source Separation [PDF]
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2020 We propose a hierarchical meta-learning-inspired model for music source separation (Meta-TasNet) in which a generator model is used to predict the weights of individual extractor models.
David Samuel +2 more
semanticscholar +1 more source
Unsupervised Blind Source Separation with Variational Auto-Encoders
European Signal Processing Conference, 2021 Supervised source separation requires expensive synthetic datasets containing clean, ground truth-source signals, while unsupervised separation requires only data mixtures.
Julian Neri, Roland Badeau, P. Depalle
semanticscholar +1 more source
Frontiers in Environmental Science, 2023 Nitrification is well-suited for urine stabilization. No base dosage is required if the pH is controlled within an appropriate operating range by urine feeding, producing an ammonium-nitrate fertilizer.
Valentin Faust +9 more
doaj +1 more source
Piecewise linear source separation [PDF]
SPIE Proceedings, 2003 We propose a new framework, called piecewise linear separation, for blind source separation of possibly degenerate mixtures, including the extreme case of a single mixture of several sources. Its basic principle is to : 1/ decompose the observations into ``components'' using some sparse decomposition/nonlinear approximation technique; 2/ perform ...
openaire +2 more sources
Underdetermined Source Separation with Structured Source Priors [PDF]
, 2004 We consider the source extraction problem for stereo instantaneous musical mixtures with more than two sources. We prove that usual separation methods based only on spatial diversity have performance limitations when the sources overlap in the time-frequency plane.
Vincent, Emmanuel, Rodet, Xavier
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Source Separation with Weakly Labelled Data: an Approach to Computational Auditory Scene Analysis [PDF]
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2020 Source separation is the task of separating an audio recording into individual sound sources. Source separation is fundamental for computational auditory scene analysis.
Qiuqiang Kong +5 more
semanticscholar +1 more source
Bio-waste to Bio-plastic (B2B): Production of Compostable Bio-Plastics from Food Waste
Proceedings, 2020 The degree of purity of materials recovered from municipal solid waste (MSW) depends mainly on the objective: the intended use of the recovered material and the cost to recover this material in its pure form, determined by the intensity of the effort and
Angeliki Maragkaki +11 more
doaj +1 more source
An Overview of Variational Autoencoders for Source Separation, Finance, and Bio-Signal Applications
Entropy, 2021 Autoencoders are a self-supervised learning system where, during training, the output is an approximation of the input. Typically, autoencoders have three parts: Encoder (which produces a compressed latent space representation of the input data), the ...
Aman Singh, T. Ogunfunmi
semanticscholar +1 more source
Probabilistic Modeling Paradigms for Audio Source Separation [PDF]
, 2010 This is the author's final version of the article, first published as E. Vincent, M. G. Jafari, S. A. Abdallah, M. D. Plumbley, M. E. Davies. Probabilistic Modeling Paradigms for Audio Source Separation. In W.
A. P.Dempster +10 more
core +5 more sources