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Fast signal reconstruction from magnitude stft spectrogram based on spectrogram consistency (2010)
| Venue: | Proc. of International Conference on Digital Audio Effects DAFx ’10 |
| Citations: | 4 - 0 self |
BibTeX
@INPROCEEDINGS{Roux10fastsignal,
author = {Jonathan Le Roux and Hirokazu Kameoka and Nobutaka Ono and Shigeki Sagayama},
title = {Fast signal reconstruction from magnitude stft spectrogram based on spectrogram consistency},
booktitle = {Proc. of International Conference on Digital Audio Effects DAFx ’10},
year = {2010}
}
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Abstract
The modification of magnitude spectrograms is at the core of many audio signal processing methods, from source separation to sound modification or noise canceling, and reconstructing a natu-ral sounding signal in such situations is thus a very important issue. This article presents recent theoretical and experimental develop-ments on the application to signal reconstruction from a modified magnitude spectrogram of the constraints that an array of complex numbers must verify to be a consistent short-time Fourier trans-form (STFT) spectrogram, i.e., to be the STFT spectrogram of an actual real-valued signal. We give here further theoretical insights, present several potential variations on our previously introduced algorithm, investigate various techniques to speed up the signal reconstruction process, and present a thorough experimental com-parison of the performance of all the considered algorithms. 1.
Keyphrases
fast signal reconstruction spectrogram consistency magnitude stft spectrogram magnitude spectrogram experimental develop-ments actual real-valued signal stft spectrogram signal reconstruction many audio signal processing method noise canceling important issue various technique thorough experimental com-parison source separation consistent short-time fourier trans-form signal reconstruction process complex number present several potential variation theoretical insight natu-ral sounding signal
