Audio Applications of Matrix Completion

Date: 
Tue, 11/27/2012 - 5:30pm - 7:00pm
Location: 
CCRMA Classroom [Knoll 217]
Event Type: 
DSP Seminar

"Audio Applications of Matrix Completion" --- Statistics PhD student Dennis Sun

Abstract: The Short-Time Fourier Transform (STFT) is a powerful tool in the analysis and synthesis of audio. Regarding the output of the STFT as a matrix enables many audio applications, similar to techniques which have enjoyed popularity in the image processing and machine learning communities. In the first part of this talk, I describe a convex optimization approach to the classic problem of magnitude-only reconstruction --- how to recover a signal given only its magnitude spectrogram. The second part will discuss how the low-rank structure of audio spectrograms can be exploited for bandwidth extension, noise removal, and other audio application. This is joint work with Julius Smith and Rahul Mazumder. 

FREE
Open to the Public
Syndicate content