User Assisted Separation of Repeating Patterns in Time and Frequency using Magnitude ProjectionsReport as inadecuate




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1 School of Music, Cork Institute of Technology, Cork, Ireland 2 Gracenote, Media Technology Lab 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.

Keywords : Constant Q Transform normalised 2-D cross- correlation PROJET audio source separation





Author: Derry Fitzgerald - Zafar Rafii - Antoine Liutkus -

Source: https://hal.archives-ouvertes.fr/



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