Back to Results
First PageMeta Content
Waves / Statistical theory / Control theory / Audio effects / Reverberation / Maximum likelihood / Impulse response / Finite impulse response / Speech transmission index / Statistics / Signal processing / Digital signal processing


Monaural room acoustic parameters from music and speech Paul Kendrick, Trevor J. Cox, and Francis F. Li Acoustic Research Centre, University of Salford, Salford M5 4WT, United Kingdom Yonggang Zhang and Jonathon A. Chamb
Add to Reading List

Document Date: 2011-10-14 07:23:48


Open Document

File Size: 410,68 KB

Share Result on Facebook

City

Madrid / Salford / London / New York / /

Company

DISCUSSIONS Music / Signal Music / B. Music / /

Continent

America / /

Country

United Kingdom / India / /

Currency

USD / /

Facility

University of Salford / Loughborough University / /

IndustryTerm

minimum energy / least energy / neural network / geometric algorithms / decay curve energy / machine learning algorithm / maximum energy / artificial neural network / feedforward networks / late energy ratio / response pre-processor / energy arriving / smallest energy / lowest energy / acoustic modeling software / energy / /

Organization

Department of Electronic and Electrical Engineering / University of Salford / US Federal Reserve / Loughborough University / Acoustical Society of America / Acoustical Society / Audio Engineering Society / Engineering and Physical Sciences Research Council / Francis F. Li Acoustic Research Centre / /

Person

Francis F. Li Acoustic / Jonathon A. Chambers / Trevor J. Cox / Brien / Jr. / Nat / Paul Kendrick / Henrik Möller / /

Position

speaker / representative / Room impulses Simulated Method Source signal RT / /

Product

iRiver T30 Portable Audio Device / /

ProgrammingLanguage

C / /

Technology

broadband / neural network / machine learning algorithm / http / Marquardt algorithm / machine learning / filter Impulse response pre-processor / /

URL

www.catt.se / http /

SocialTag