<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Kurt Jacobson</style></author><author><style face="normal" font="default" size="100%">Matthew Davies</style></author><author><style face="normal" font="default" size="100%">Mark Sandler</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">The Effects of Lossy Audio Encoding on Onset Detection Tasks</style></title><secondary-title><style face="normal" font="default" size="100%">125th AES Convention</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2008</style></year><pub-dates><date><style  face="normal" font="default" size="100%">October, 2008</style></date></pub-dates></dates><pub-location><style face="normal" font="default" size="100%">San Francisco, CA, USA</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">In large audio collections, it is common to store audio content with perceptual encoding. However, encoding parameters may vary from collection to collection or even within a collection - using different bit rates, sample rates, codecs, etc. We evaluate the effect of various audio encodings on the onset detection task. We show that audio-based onset detection methods are surprisingly robust in the presence of MP3 encoded audio. Statistically significant changes in onset detection accuracy only occur at bit-rates lower than 32kbps.</style></abstract></record></records></xml>