'Source separation' presentation slideshows

THE CASE FOR WASTE

Waste Conversion Systems. 290 Linden Oaks, Suite 220, Rochester NY, 14625 danh@wasteconsys.com Exclusive distributor in Ukraine: JSC RTI TTR Kolomenskaya Str., 3, p/b. 352, Kharkov, 61166, Ukraine nti@ttr.com.ua. THE CASE FOR WASTE.

816 views • 57 slides

Arash Ali-Amini 1 Massoud BABAIE-ZADEH 1,2 Christian Jutten 2

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502 views • 36 slides

METISS

447 views • 35 slides

Macaulay Conference: May 11 -12

429 views • 33 slides

Update

Update. May 3 rd , 2010. Outline. Audio spatialization Performance evaluation (source separation) Source separation System overview Demonstration (system) Concentration measure and W-disjoint orthogonality Adaptive time-frequency representation (TFR) Demonstration (adaptive TFR).

504 views • 33 slides

San Diego CRRA International Conference 29 th July -3 th August 2011

San Diego CRRA International Conference 29 th July -3 th August 2011. "PICTURE OF ZERO WASTE ITALIAN ACTIVITIES" ROSSANO ERCOLINI,ITALIAN ZERO WASTE NETWORK AMBIENTE E FUTURO ZW CAPANNORI RESEARCH CENTER. PRESENT NATIONAL CAMPAIGNS.

416 views • 33 slides

European Zero Waste Meeting 14th March 2011 Brussels, Belgium

European Zero Waste Meeting 14th March 2011 Brussels, Belgium. "PICTURE OF ZERO WASTE ITALIAN ACTIVITIES" ROSSANO ERCOLINI,ITALIAN ZERO WASTE NETWORK AMBIENTE E FUTURO ZW CAPANNORI RESEARCH CENTER. PRESENT NATIONAL CAMPAIGNS.

457 views • 32 slides

Investigation of Pitch Detection Characteristics from Different Audio Context

Investigation of Pitch Detection Characteristics from Different Audio Context. Part 1: Introduction. Pitch Detection Characteristics from Different Audio Context. Motivations: Testing pitch detection algorithms using imperfect audio materials Music note itself can be very complex

484 views • 31 slides

Audio S ource S eparation And ICA

Audio S ource S eparation And ICA. by Mike Davies & Nikolaos Mitianoudis Digital Signal Processing Lab Queen Mary, University of London. Outline of Talk. Introduction : Audio Source Separation: Beamforming, ICA & CASA ICA for source separation dealing with convolutive mixtures

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447 views • 20 slides

Blind Source Separation : from source separation to pixel classication

357 views • 18 slides

Blind Source Separation : from source separation to pixel classication

354 views • 18 slides

Mark Swilling- Sustainabilit Institute

Mark Swilling- Sustainabilit Institute What are the obstacles to large scale commercial applications here in SA? Technology or policy constraints ? Answer Sweden: no power and heating- better payback Combine heating with chillers Strong political will visible. Answer Price

285 views • 17 slides

Zero Waste OC 2013

212 views • 14 slides

Full-rank Gaussian modeling of convolutive audio mixtures applied to source separation

Full-rank Gaussian modeling of convolutive audio mixtures applied to source separation. Ngoc Q. K. Duong, Supervisor: R. Gribonval and E. Vincent METISS project team, INRIA, Center de Rennes - Bretagne Atlantique, France Nov. 2010. Table of content. Problem introduction and motivation

282 views • 14 slides

Leakage Problems in Array Speech Processing Julien Bourgeois Martigny - September 2003

Leakage Problems in Array Speech Processing Julien Bourgeois Martigny - September 2003. x 1 (t). x 4 (t). Array Processor. Context of the work. Several simultaneous speakers (sources) spatially located. Road Noise spatially diffuse. s 2 (t). s 1 (t). Microphone Array

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Consumer

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On Controlling Light Transport in Poor Visibility Environments

On Controlling Light Transport in Poor Visibility Environments . Mohit Gupta. Srinivasa G. Narasimhan. Yoav Y. Schechner. Light Transport in Scattering Media. How to Illuminate the Scene in Poor Visibility Environments?. 1. Flood Lighting. 3. Confocal Imaging [ Levoy et al].

106 views • 1 slides