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ICA
2012
Springer
7 years 7 months ago
Online PLCA for Real-Time Semi-supervised Source Separation
Non-negative spectrogram factorization algorithms such as probabilistic latent component analysis (PLCA) have been shown to be quite powerful for source separation. When training d...
Zhiyao Duan, Gautham J. Mysore, Paris Smaragdis
ICASSP
2011
IEEE
8 years 3 months ago
Audio source separation by basis function adaptation
The problem of audio source separation from a monophonic sound mixture having known instrument types but unknown timbres is presented. An improvement to the Probabilistic Latent C...
Yinyi Guo, Mofei Zhu
ICASSP
2011
IEEE
8 years 3 months ago
OpenBliSSART: Design and evaluation of a research toolkit for Blind Source Separation in Audio Recognition Tasks
We describe and evaluate our toolkit openBliSSART (open-source Blind Source Separation for Audio Recognition Tasks), which is the C++ framework and toolbox that we have successful...
Felix Weninger, Alexander Lehmann, Björn Schu...
TIP
2010
137views more  TIP 2010»
8 years 6 months ago
Adaptive Langevin Sampler for Separation of t-Distribution Modelled Astrophysical Maps
We propose to model the image differentials of astrophysical source maps by Student's t-distribution and to use them in the Bayesian source separation method as priors. We int...
Koray Kayabol, Ercan E. Kuruoglu, José Luis...
TASLP
2010
177views more  TASLP 2010»
8 years 6 months ago
A Watermarking-Based Method for Informed Source Separation of Audio Signals With a Single Sensor
In this paper, the issue of audio source separation from a single channel is addressed, i.e. the estimation of several source signals from a single observation of their mixture. Th...
Mathieu Parvaix, Laurent Girin, Jean-Marc Brossier
ICASSP
2009
IEEE
8 years 9 months ago
Blind sparse source separation for unknown number of sources using Gaussian mixture model fitting with Dirichlet prior
In this paper, we propose a novel sparse source separation method that can be applied even if the number of sources is unknown. Recently, many sparse source separation approaches ...
Shoko Araki, Tomohiro Nakatani, Hiroshi Sawada, Sh...
ICASSP
2010
IEEE
8 years 10 months ago
A sparse component model of source signals and its application to blind source separation
In this paper, we propose a new method of blind source separation (BSS) for music signals. Our method has the following characteristics: 1) the method is a combination of the spar...
Yu Kitano, Hirokazu Kameoka, Yosuke Izumi, Nobutak...
TASLP
2010
138views more  TASLP 2010»
8 years 10 months ago
Source/Filter Model for Unsupervised Main Melody Extraction From Polyphonic Audio Signals
— Extracting the main melody from a polyphonic music recording seems natural even to untrained human listeners. To a certain extent it is related to the concept of source separat...
Jean-Louis Durrieu, Gaël Richard, Bertrand Da...
TASLP
2010
109views more  TASLP 2010»
8 years 10 months ago
Model-Based Expectation-Maximization Source Separation and Localization
Abstract—This paper describes a system, referred to as modelbased expectation-maximization source separation and localization (MESSL), for separating and localizing multiple soun...
Michael I. Mandel, Ron J. Weiss, Daniel P. W. Elli...
ICRA
2010
IEEE
178views Robotics» more  ICRA 2010»
8 years 10 months ago
Improvement in listening capability for humanoid robot HRP-2
— This paper describes improvement of sound source separation for a simultaneous automatic speech recognition (ASR) system of a humanoid robot. A recognition error in the system ...
Toru Takahashi, Kazuhiro Nakadai, Kazunori Komatan...
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