The problem of recovering a signal from the magnitude of its short-time Fourier transform (STFT) is a longstanding one in audio signal processing. Existing approaches rely on heuristics that often perform poorly because of the nonconvexity of the problem. We introduce a formulation of the problem that lends itself to a tractable convex program. We observe that our method yields better reconstructions than the standard Griffin-Lim algorithm. We provide an algorithm and discuss practical implementation details, including how the method can be scaled up to larger examples.
Authors:
Sun, Dennis L.; Smith, III, Julius O.
Affiliation:
Stanford University, Stanford, CA, USA
AES Convention:
133 (October 2012)
Paper Number:
8785
Publication Date:
October 25, 2012
Subject:
Signal Processing Fundamentals
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