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TASLP
2010
138views more  TASLP 2010»
12 years 12 months ago
Glimpsing IVA: A Framework for Overcomplete/Complete/Undercomplete Convolutive Source Separation
Abstract--Independent vector analysis (IVA) is a method for separating convolutedly mixed signals that significantly reduces the occurrence of the well-known permutation problem in...
Alireza Masnadi-Shirazi, Wenyi Zhang, Bhaskar D. R...
ICA
2007
Springer
13 years 11 months ago
Discovering Convolutive Speech Phones Using Sparseness and Non-negativity
Discovering a representation that allows auditory data to be parsimoniously represented is useful for many machine learning and signal processing tasks. Such a representation can b...
Paul D. O'Grady, Barak A. Pearlmutter
ICMCS
2006
IEEE
129views Multimedia» more  ICMCS 2006»
13 years 11 months ago
Speaker Identification using a Microphone Array and a Joint HMM with Speech Spectrum and Angle of Arrival
In this paper, we present a speaker identification algorithm for a microphone array based on a first-order joint Hidden Markov Model (HMM) where the observations correspond to t...
Jack W. Stokes, John C. Platt, Sumit Basu
INTERSPEECH
2010
13 years 1 days ago
Combining monaural and binaural evidence for reverberant speech segregation
Most existing binaural approaches to speech segregation rely on spatial filtering. In environments with minimal reverberation and when sources are well separated in space, spatial...
John Woodruff, Rohit Prabhavalkar, Eric Fosler-Lus...
INTERSPEECH
2010
13 years 1 days ago
Multi-pitch estimation by a joint 2-d representation of pitch and pitch dynamics
Multi-pitch estimation of co-channel speech is especially challenging when the underlying pitch tracks are close in pitch value (e.g., when pitch tracks cross). Building on our pr...
Tianyu T. Wang, Thomas F. Quatieri