Hybrid multiresolution analysis of 'punch' in musical signals

Steven Fenton, Hyunkook Lee, Jonathan Wakefield

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

This paper presents a hybrid multi-resolution technique for the extraction and measurement of attributes contained within a musical signal. Decomposing music into simpler percussive, harmonic and noise components is useful when detailed extraction of signal attributes is required. The key parameter of interest in this paper is that of punch. A methodology is explored that decomposes the musical signal using a critically sampled constant-Q filterbank of quadrature mirror filters (QMF) before adaptive windowed short term Fourier transforms (STFT). The proposed hybrid method offers accuracy in both the time and frequency domains. Following the decomposition transform process, attributes are analyzed. It is shown that analysis of these components may yield parameters that would be of use in both mixing/mastering and also audio transcription and retrieval.

Original languageEnglish
Title of host publication138th Audio Engineering Society Convention, AES 2015
PublisherAudio Engineering Society
Pages79-88
Number of pages10
Volume1
ISBN (Electronic)9781510806597
Publication statusPublished - 2015
Event138th Audio Engineering Society Convention - Sofitiel Victoria Hotel, Warsaw, Poland
Duration: 7 May 201510 May 2015
Conference number: 138
http://www.aes.org/events/138/ (Link to Event Website)

Conference

Conference138th Audio Engineering Society Convention
Abbreviated titleAES 2015
CountryPoland
CityWarsaw
Period7/05/1510/05/15
Internet address

Fingerprint

Multiresolution analysis
punches
Multiresolution Analysis
Attribute
Transcription
Digital filters
Decompose
Fourier transforms
adaptive filters
music
Hybrid Method
Decomposition
Multiresolution
Music
quadratures
Quadrature
retrieval
Frequency Domain
Time Domain
Fourier transform

Cite this

Fenton, S., Lee, H., & Wakefield, J. (2015). Hybrid multiresolution analysis of 'punch' in musical signals. In 138th Audio Engineering Society Convention, AES 2015 (Vol. 1, pp. 79-88). Audio Engineering Society.
Fenton, Steven ; Lee, Hyunkook ; Wakefield, Jonathan. / Hybrid multiresolution analysis of 'punch' in musical signals. 138th Audio Engineering Society Convention, AES 2015. Vol. 1 Audio Engineering Society, 2015. pp. 79-88
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Fenton, S, Lee, H & Wakefield, J 2015, Hybrid multiresolution analysis of 'punch' in musical signals. in 138th Audio Engineering Society Convention, AES 2015. vol. 1, Audio Engineering Society, pp. 79-88, 138th Audio Engineering Society Convention, Warsaw, Poland, 7/05/15.

Hybrid multiresolution analysis of 'punch' in musical signals. / Fenton, Steven; Lee, Hyunkook; Wakefield, Jonathan.

138th Audio Engineering Society Convention, AES 2015. Vol. 1 Audio Engineering Society, 2015. p. 79-88.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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N2 - This paper presents a hybrid multi-resolution technique for the extraction and measurement of attributes contained within a musical signal. Decomposing music into simpler percussive, harmonic and noise components is useful when detailed extraction of signal attributes is required. The key parameter of interest in this paper is that of punch. A methodology is explored that decomposes the musical signal using a critically sampled constant-Q filterbank of quadrature mirror filters (QMF) before adaptive windowed short term Fourier transforms (STFT). The proposed hybrid method offers accuracy in both the time and frequency domains. Following the decomposition transform process, attributes are analyzed. It is shown that analysis of these components may yield parameters that would be of use in both mixing/mastering and also audio transcription and retrieval.

AB - This paper presents a hybrid multi-resolution technique for the extraction and measurement of attributes contained within a musical signal. Decomposing music into simpler percussive, harmonic and noise components is useful when detailed extraction of signal attributes is required. The key parameter of interest in this paper is that of punch. A methodology is explored that decomposes the musical signal using a critically sampled constant-Q filterbank of quadrature mirror filters (QMF) before adaptive windowed short term Fourier transforms (STFT). The proposed hybrid method offers accuracy in both the time and frequency domains. Following the decomposition transform process, attributes are analyzed. It is shown that analysis of these components may yield parameters that would be of use in both mixing/mastering and also audio transcription and retrieval.

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Fenton S, Lee H, Wakefield J. Hybrid multiresolution analysis of 'punch' in musical signals. In 138th Audio Engineering Society Convention, AES 2015. Vol. 1. Audio Engineering Society. 2015. p. 79-88