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Filter banks with fixed time-frequency resolution, such as STFT, are a common tool for many audio analysis and processing applications allowing effective implementation via FFT. The major problem with STFT approach is a fixed time-frequency resolution. In this paper, we suggest adaptively varying STFT time-frequency resolution in order to reduce filter bank specific artifacts such as pre-echo while retaining adequate frequency resolution. Several strategies for systematic adaptation of time-frequency resolution are proposed. The introduced approach is demonstrated for problems of spectrograms display, noise reduction, and spectral effects processing.
Author (s): Lukin, Alexey; Todd, Jeremy
Affiliation:
iZotope, Inc.; Moscow State University
(See document for exact affiliation information.)
AES Convention: 120
Paper Number:6717
Publication Date:
2006-05-06
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Session subject:
Signal Processing; High Resolution Audio
Permalink: https://aes2.org/publications/elibrary-page/?id=13521
(470KB)
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Lukin, Alexey; Todd, Jeremy; 2006; Adaptive Time-Frequency Resolution for Analysis and Processing of Audio [PDF]; iZotope, Inc.; Moscow State University; Paper 6717; Available from: https://aes2.org/publications/elibrary-page/?id=13521
Lukin, Alexey; Todd, Jeremy; Adaptive Time-Frequency Resolution for Analysis and Processing of Audio [PDF]; iZotope, Inc.; Moscow State University; Paper 6717; 2006 Available: https://aes2.org/publications/elibrary-page/?id=13521