Hybrid Multiresolution Analysis of "Punch" in Musical Signals
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S. Fenton, H. Lee, and J. Wakefield, "Hybrid Multiresolution Analysis of “Punch” in Musical Signals," Paper 9229, (2015 May.). doi:
S. Fenton, H. Lee, and J. Wakefield, "Hybrid Multiresolution Analysis of “Punch” in Musical Signals," Paper 9229, (2015 May.). doi:
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.
@article{fenton2015hybrid,
author={fenton, steven and lee, hyunkook and wakefield, jonathan},
journal={journal of the audio engineering society},
title={hybrid multiresolution analysis of “punch” in musical signals},
year={2015},
volume={},
number={},
pages={},
doi={},
month={may},}
@article{fenton2015hybrid,
author={fenton, steven and lee, hyunkook and wakefield, jonathan},
journal={journal of the audio engineering society},
title={hybrid multiresolution analysis of “punch” in musical signals},
year={2015},
volume={},
number={},
pages={},
doi={},
month={may},
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.},}
TY - paper
TI - Hybrid Multiresolution Analysis of “Punch” in Musical Signals
SP -
EP -
AU - Fenton, Steven
AU - Lee, Hyunkook
AU - Wakefield, Jonathan
PY - 2015
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2015
TY - paper
TI - Hybrid Multiresolution Analysis of “Punch” in Musical Signals
SP -
EP -
AU - Fenton, Steven
AU - Lee, Hyunkook
AU - Wakefield, Jonathan
PY - 2015
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2015
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.
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.
Authors:
Fenton, Steven; Lee, Hyunkook; Wakefield, Jonathan
Affiliation:
University of Huddersfield, Huddersfield, UK
AES Convention:
138 (May 2015)
Paper Number:
9229
Publication Date:
May 6, 2015Import into BibTeX
Subject:
Education and Perception
Permalink:
http://www.aes.org/e-lib/browse.cfm?elib=17653