Multi-Pitch Estimation of Audio Recordings Using a Codebook-Based Approach

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Abstract

In this paper, a method for multi-pitch estimation of single-channel mixtures of harmonic signals is presented. Using the method, it is possible to resolve amplitudes of overlapping harmonics, which is otherwise an ill-posed problem. The method is based on the extended invariance principle (EXIP), and a codebook consisting of realistic amplitude vectors. A nonlinear least squares (NLS) cost function is formed based on the observed signal and a parametric model of the signal, for a set of fundamental frequency candidates. For each of these, amplitude estimates are computed. The magnitudes of these estimates are quantized according to a codebook, and an updated cost function is used to estimate the fundamental frequencies of the sources. The performance of the proposed estimator is evaluated using synthetic and real mixtures, and the results show that the proposed method is able to estimate multiple pitches in a mixture of sources with overlapping harmonics.
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In this paper, a method for multi-pitch estimation of single-channel mixtures of harmonic signals is presented. Using the method, it is possible to resolve amplitudes of overlapping harmonics, which is otherwise an ill-posed problem. The method is based on the extended invariance principle (EXIP), and a codebook consisting of realistic amplitude vectors. A nonlinear least squares (NLS) cost function is formed based on the observed signal and a parametric model of the signal, for a set of fundamental frequency candidates. For each of these, amplitude estimates are computed. The magnitudes of these estimates are quantized according to a codebook, and an updated cost function is used to estimate the fundamental frequencies of the sources. The performance of the proposed estimator is evaluated using synthetic and real mixtures, and the results show that the proposed method is able to estimate multiple pitches in a mixture of sources with overlapping harmonics.
Original languageEnglish
Title of host publicationProceedings of the 24th European Signal Processing Conference (EUSIPCO)
PublisherIEEE
Publication date2016
Pages983-987
ISBN (Print)978-0-9928-6265-7
DOI
StatePublished - 2016
Publication categoryResearch
Peer-reviewedYes
Event24th European Signal Processing Conference - Hilton Budapest, Budapest, Hungary
Duration: 29 Aug 20162 Sep 2016
Conference number: 24

Conference

Conference24th European Signal Processing Conference
Nummer24
LocationHilton Budapest
LandHungary
ByBudapest
Periode29/08/201602/09/2016
SeriesProceedings of the European Signal Processing Conference (EUSIPCO)
ISSN2076-1465

    Research areas

  • multi-pitch estimation, amplitude estimation, vector quantization, music information retrieval

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