Results 51 to 60 of about 10,574,194 (321)
Convexity in source separation: Models, geometry, and algorithms [PDF]
, 2013 Source separation or demixing is the process of extracting multiple components entangled within a signal. Contemporary signal processing presents a host of difficult source separation problems, from interference cancellation to background subtraction ...
Asaei, Afsaneh +4 more
core +3 more sources
Open-Unmix - A Reference Implementation for Music Source Separation
Journal of Open Source Software, 2019 Music source separation is the task of decomposing music into its constitutive components, e.g., yielding separated stems for the vocals, bass, and drums.
Fabian-Robert Stöter +3 more
semanticscholar +1 more source
Majorization-Minimization Algorithm for Discriminative Non-Negative Matrix Factorization
IEEE Access, 2020 This paper proposes a basis training algorithm for discriminative non-negative matrix factorization (NMF) with applications to single-channel audio source separation.
Li Li, Hirokazu Kameoka, Shoji Makino
doaj +1 more source
Bayesian source separation of fMRI signals [PDF]
, 2000 In analyzing the results of functional magnetic resonance imaging, the identification of significant activation in voxels is a crucial task. In computing the activation level, a standard method is to select an assumed to be known reference function and ...
Rowe, Daniel B.
core +3 more sources
AIDA: An Active Inference-Based Design Agent for Audio Processing Algorithms
Frontiers in Signal Processing, 2022 In this paper we present Active Inference-Based Design Agent (AIDA), which is an active inference-based agent that iteratively designs a personalized audio processing algorithm through situated interactions with a human client.
Albert Podusenko +5 more
doaj +1 more source
Model-Independent Analytic Nonlinear Blind Source Separation
, 2017 Consider a time series of measurements of the state of an evolving system, x(t), where x has two or more components. This paper shows how to perform nonlinear blind source separation; i.e., how to determine if these signals are equal to linear or ...
Levin, David N.
core +1 more source
Blind source separation using temporal predictability [PDF]
, 2001 A measure of temporal predictability is defined and used to separate linear mixtures of signals. Given any set of statistically independent source signals, it is conjectured here that a linear mixture of those signals has the following property: the ...
Stone, J.V.
core +2 more sources
Source-Channel Coding Theorems for the Multiple-Access Relay Channel
, 2013 We study reliable transmission of arbitrarily correlated sources over multiple-access relay channels (MARCs) and multiple-access broadcast relay channels (MABRCs). In MARCs only the destination is interested in reconstructing the sources, while in MABRCs
Dabora, Ron +2 more
core +1 more source
IEEE Open Journal of Signal Processing, 2022 Target source extractionis significant for improving human speech intelligibility and the speech recognition performance of computers. This study describes a method for target source extraction, called the similarity-and-independence-awarebeamformer ...
Atsuo Hiroe
doaj +1 more source
Single channel speech music separation using nonnegative matrix factorization and spectral masks [PDF]
, 2011 A single channel speech-music separation algorithm based on nonnegative matrix factorization (NMF) with spectral masks is proposed in this work. The proposed algorithm uses training data of speech and music signals with nonnegative matrix factorization ...
Erdogan, Hakan +2 more
core +1 more source