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Estimating a Signal from a Magnitude Spectrogram via Convex Optimization

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 Import into BibTeX
Subject:Signal Processing Fundamentals

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