Pitch Estimation of Stereophonic Mixtures of Delay and Amplitude Panned Signals

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Abstract

In this paper, a novel method for pitch estimation of stereophonic mixtures is presented, and it is investigated how the performance is affected by the pan parameters of the individual signals of the mixture. The method is based on a signal model that takes into account a stereophonic mixture created by mixing multiple individual channels with different pan parameters, and is hence suited for use in automatic music transcription, source separation and classification systems. Panning is done using both amplitude differences and delays. The performance of the estimator is compared to one single-channel, two multi-channel and one multi-pitch estimator using synthetic and real signals. Experiments show that the proposed method is able to correctly estimate the pitches of a mixture of three real signals when they are separated by more than 25 degrees.
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In this paper, a novel method for pitch estimation of stereophonic mixtures is presented, and it is investigated how the performance is affected by the pan parameters of the individual signals of the mixture. The method is based on a signal model that takes into account a stereophonic mixture created by mixing multiple individual channels with different pan parameters, and is hence suited for use in automatic music transcription, source separation and classification systems. Panning is done using both amplitude differences and delays. The performance of the estimator is compared to one single-channel, two multi-channel and one multi-pitch estimator using synthetic and real signals. Experiments show that the proposed method is able to correctly estimate the pitches of a mixture of three real signals when they are separated by more than 25 degrees.
Original languageEnglish
Title of host publication23rd European Signal Processing Conference (EUSIPCO), 2015
PublisherIEEE
Publication date2015
Pages36-40
ISBN (Print)978-0-9928626-3-3
DOI
Publication statusPublished - 2015
Publication categoryResearch
Peer-reviewedYes
EventEuropean Signal Processing Conference (EUSIPCO) - Nice, France
Duration: 31 Aug 20154 Sep 2015

Conference

ConferenceEuropean Signal Processing Conference (EUSIPCO)
LandFrance
ByNice
Periode31/08/201504/09/2015
SeriesEuropean Signal Processing Conference (EUSIPCO)
ISSN2076-1465

    Research areas

  • Pitch estimation, multi-channel processing, noise reduction, maximum likelihood

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