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User Assisted Separation of Repeating Patterns in Time and Frequency using Magnitude Projections

Derry Fitzgerald 1 Zafar Rafii 2 Antoine Liutkus 3
3 MULTISPEECH - Speech Modeling for Facilitating Oral-Based Communication
Inria Nancy - Grand Est, LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery
Abstract : In this paper, we propose a simple user-assisted method for the recovery of repeating patterns in time and frequency which can occur in audio mixtures. Here, the user selects a region in a log-frequency spectrogram from which they seek to recover the underlying pattern, such as a repeating chord masked by a cough. Cross-correlation is then performed between the selected region and the spectrogram, revealing similar regions. The most similar region is then selected and a variant on the PROJET algorithm, termed PROJET-MAG, is used to extract the common time-frequency components from the two regions , as well as extracting the components which are not common. The results obtained are compared to another user-assisted method based on REPET, and PROJET-MAG is demonstrated to give improved results over this baseline.
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Submitted on : Friday, April 28, 2017 - 12:50:43 PM
Last modification on : Wednesday, November 3, 2021 - 7:56:53 AM
Long-term archiving on: : Saturday, July 29, 2017 - 1:16:51 PM


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  • HAL Id : hal-01515956, version 1



Derry Fitzgerald, Zafar Rafii, Antoine Liutkus. User Assisted Separation of Repeating Patterns in Time and Frequency using Magnitude Projections. 42nd International Conference on Acoustics, Speech and Signal Processing (ICASSP), Mar 2017, New Orleans, United States. ⟨hal-01515956⟩



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