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» Monaural Source Separation Using Spectral Cues
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IJON
2000
82views more  IJON 2000»
13 years 8 months ago
Auditory localization using direction-dependent spectral information
This work presents a biologically motivated neuronal model for detecting the elevation of unfamiliar natural sound sources using monoaural cues, based on head-related-transfer fun...
Daniel Gill, Lidror Troyansky, Israel Nelken
NIPS
2004
13 years 10 months ago
Blind One-microphone Speech Separation: A Spectral Learning Approach
We present an algorithm to perform blind, one-microphone speech separation. Our algorithm separates mixtures of speech without modeling individual speakers. Instead, we formulate ...
Francis R. Bach, Michael I. Jordan
ISCAS
2005
IEEE
149views Hardware» more  ISCAS 2005»
14 years 2 months ago
Audio source separation by source localization with Hilbert spectrum
—This paper presents a technique to separate the audio signals from their binaural mixtures based on localizing the sources in the space of interaural differences. Two interaural...
M. Khademul Islam Molla, Keikichi Hirose, Nobuaki ...
TASLP
2008
123views more  TASLP 2008»
13 years 9 months ago
Normalized Cuts for Predominant Melodic Source Separation
The predominant melodic source, frequently the singing voice, is an important component of musical signals. In this paper, we describe a method for extracting the predominant sourc...
Mathieu Lagrange, Luis Gustavo Martins, Jennifer M...
ICPR
2010
IEEE
13 years 9 months ago
Semi-blind Speech-Music Separation Using Sparsity and Continuity Priors
—In this paper we propose an approach for the problem of single channel source separation of speech and music signals. Our approach is based on representing each source’s power...
Hakan Erdogan, Emad M. Grais