Results 261 to 270 of about 4,267,953 (306)

Accelerating online algorithm using geometrically constrained independent vector analysis with iterative source steering

Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2022
In this paper, we derive an alternative online algorithm for geometrically constrained independent vector analysis (GC-IVA) based on iterative source steering (ISS) to tackle real-time directional speech enhancement. The proposed algorithm fully exploits
Kana Goto, Tetsuya Ueda, Li Li, Takeshi Yamada, S. Makino   +4 more
semanticscholar   +1 more source

Decentralized independent vector analysis

2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017
Independent vector analysis (IVA) is an approach for joint blind source separation of several data sets that learns simultaneous unmixing transforms for each set. It assumes corresponding sources from different data sets to be statistically dependent. One of the main advantages is IVA's ability to retain subject-specific differences while simplifying ...
Nikolas P. Wojtalewicz, Rogers F. Silva, Vince D. Calhoun, Anand D. Sarwate, Sergey M. Plis   +4 more
openaire   +1 more source

Multidataset independent subspace analysis extends independent vector analysis

2014 IEEE International Conference on Image Processing (ICIP), 2014
Despite its multivariate nature, independent component analysis (ICA) is generally limited to univariate latents in the sense that each latent component is a scalar process. Independent subspace analysis (ISA), or multidimensional ICA (MICA), is a generalization of ICA which identifies latent independent vector components instead.
Rogers F Silva, Sergey M Plis, Tulay Adali, Vince D Calhoun   +3 more
openaire   +1 more source

Stability of independent vector analysis

Signal Processing, 2012
Independent vector analysis (IVA) is a method for solving the permutation problem that is inherent in the frequency-domain independent component analysis for convoluted mixtures. IVA utilizes inner dependency among the frequency components of each source.
Takashi Itahashi, Kiyotoshi Matsuoka
openaire   +1 more source

Real-Time Independent Vector Analysis with a Deep-Learning-Based Source Model

Spoken Language Technology Workshop, 2021
In this paper, we present a real-time blind source separation (BSS) algorithm, which unifies the independent vector analysis (IVA) as a spatial model and a deep neural network (DNN) as a source model.
Fang Kang, Feiran Yang, Jun Yang
semanticscholar   +1 more source

Informed Source Extraction based on Independent Vector Analysis using Eigenvalue Decomposition

European Signal Processing Conference, 2021
A desired acoustic source can very often only be observed in a mixture together with interfering sources in a real-life scenario. Hence, extracting the desired signal with a minimum amount of information about the geometric and acoustic setup is a ...
Andreas Brendel, Walter Kellermann
semanticscholar   +1 more source

Independent Vector Analysis for Molecular Data Fusion: Application to Property Prediction and Knowledge Discovery of Energetic Materials

European Signal Processing Conference, 2021
Due to its high computational speed and accuracy compared to ab-initio quantum chemistry and forcefield modeling, the prediction of molecular properties using machine learning has received great attention in the fields of materials design and drug ...
Z. Boukouvalas, Monica Puerto, Daniel C. Elton, Peter W. Chung, M. Fuge   +4 more
semanticscholar   +1 more source

Real-Time Independent Vector Analysis Using Semi-Supervised Nonnegative Matrix Factorization as a Source Model

Interspeech, 2021
Online independent vector analysis (IVA) based on auxiliary technology is effective to separate audio source in real time. However, the separated signal may contain residual interference noise because the source model of IVA lacks flexibility and cannot ...
Taihui Wang, Feiran Yang, Rui Zhu, Jun Yang   +3 more
semanticscholar   +1 more source

Independent Vector Analysis: Definition and Algorithms

2006 Fortieth Asilomar Conference on Signals, Systems and Computers, 2006
We present a new approach to independent component analysis (ICA) by extending the formulation of univariate source signals to multivariate source signals. The new approach is termed independent vector analysis (IVA). In the model, we assume that linear mixing model exists in each dimension separately, and the latent sources are independent of the ...
Taesu Kim, Intae Lee, Te-Won Lee
openaire   +1 more source

Reweighted Algorithms for Independent Vector Analysis

IEEE Signal Processing Letters, 2017
In this letter, we consider the problem of joint blind source separation of multiple datasets simultaneously using an Independent vector analysis (IVA) framework. In particular we propose a new paradigm of reweighted algorithms for IVA by employing a source prior from a multivariate generalized scale mixture distribution family.
Ritwik Giri, Bhaskar D. Rao, Harinath Garudadri   +2 more
openaire   +1 more source