Estimation of Multiple Pitches in Stereophonic Mixtures using a Codebook-based Approach

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Abstract

In this paper, a method for multi-pitch estimation of stereophonic mixtures of multiple harmonic signals is presented. The method is based on a signal model which takes the amplitude and delay panning parameters of the sources in a stereophonic mixture into account. Furthermore, the method is based on the extended invariance principle (EXIP), and a codebook of realistic amplitude vectors. For each fundamental frequency candidate in each of the sources, the amplitude estimates are mapped to entries in the codebook, and the pitch and model order are estimated jointly. The performance of the proposed method is evaluated using mixtures of real signals. Experiments show an increase in performance when knowledge about the panning parameters is utilized together with the codebook of magnitude amplitudes when compared to a state-of-the-art transcription method.
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Detaljer

In this paper, a method for multi-pitch estimation of stereophonic mixtures of multiple harmonic signals is presented. The method is based on a signal model which takes the amplitude and delay panning parameters of the sources in a stereophonic mixture into account. Furthermore, the method is based on the extended invariance principle (EXIP), and a codebook of realistic amplitude vectors. For each fundamental frequency candidate in each of the sources, the amplitude estimates are mapped to entries in the codebook, and the pitch and model order are estimated jointly. The performance of the proposed method is evaluated using mixtures of real signals. Experiments show an increase in performance when knowledge about the panning parameters is utilized together with the codebook of magnitude amplitudes when compared to a state-of-the-art transcription method.
OriginalsprogEngelsk
TitelIEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017
ForlagIEEE
Publikationsdato2017
Sider186-190
ISBN (Elektronisk)978-1-5090-4117-6
DOI
StatusUdgivet - 2017
PublikationsartForskning
Peer reviewJa
BegivenhedThe 42nd IEEE International Conference on Acoustics, Speech and Signal Processing - New Orleans, USA
Varighed: 5 mar. 20179 mar. 2017
http://www.ieee-icassp2017.org/
http://www.ieee-icassp2017.org/

Konference

KonferenceThe 42nd IEEE International Conference on Acoustics, Speech and Signal Processing
LandUSA
ByNew Orleans
Periode05/03/201709/03/2017
Internetadresse
NavnI E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings
ISSN1520-6149

Kort

ID: 270979209