Alexander Lerch

Title:

Digital Music Signal Processing: Audio Alignment and Time Stretching

Abstract:

Modern audio software offers many ways of processing and modifying the audio signal, including the ability to mash-up two or more sequences of audio by changing their tempo and pitch. To do that automatically, two pre-requisites are required: an accurate analysis of the timing and similarity between the sequences and a dynamic "time-stretch" algorithm for matching tempo and pitch. While this functionality is already available, it often lacks the necessary quality in both the analysis result and the artifact-free processing of the audio. This presentation will outline the approaches, typical problems, and recent developments in this area.

Bio:

Alexander Lerch works on the the design of new digital signal processing
algorithms that extract information from music. Lerch received his Diplom-Ingenieur in telecommunications and his PhD in
music performance analysis from the Technical University of Berlin. He
 is co-founder of the company "zplane" - a research-driven technology provider for the music industry. He is currently an Assistant Professor in the School of Music at Georgia Tech in Atlanta. His book "An Introduction to Audio Content Analysis: Applications in
Signal Processing and Music Informatics" has been published in 2012 by
IEEE / Wiley press.