Loudness Descriptors to Characterize Programs and Music Tracks
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E. Skovenborg, and T. Lund, "Loudness Descriptors to Characterize Programs and Music Tracks," Paper 7514, (2008 October.). doi:
E. Skovenborg, and T. Lund, "Loudness Descriptors to Characterize Programs and Music Tracks," Paper 7514, (2008 October.). doi:
Abstract: We present a set of key numbers to summarize loudness properties of an audio segment, broadcast program or music track: the loudness descriptors. The computation of these descriptors is based on a measurement of loudness level, such as specified by the ITU-R BS.1770. Two fundamental loudness descriptors are introduced: Center of Gravity and Consistency. These two descriptors were computed for a collection of audio segments from various sources, media and formats. This evaluation demonstrates that the descriptors can robustly characterize essential properties of the segments. We propose three different applications of the descriptors: for diagnosing potential loudness problems in ingest material; as a means for performing a quality check, after processing/editing; or for use in a delivery specification.
@article{skovenborg2008loudness,
author={skovenborg, esben and lund, thomas},
journal={journal of the audio engineering society},
title={loudness descriptors to characterize programs and music tracks},
year={2008},
volume={},
number={},
pages={},
doi={},
month={october},}
@article{skovenborg2008loudness,
author={skovenborg, esben and lund, thomas},
journal={journal of the audio engineering society},
title={loudness descriptors to characterize programs and music tracks},
year={2008},
volume={},
number={},
pages={},
doi={},
month={october},
abstract={we present a set of key numbers to summarize loudness properties of an audio segment, broadcast program or music track: the loudness descriptors. the computation of these descriptors is based on a measurement of loudness level, such as specified by the itu-r bs.1770. two fundamental loudness descriptors are introduced: center of gravity and consistency. these two descriptors were computed for a collection of audio segments from various sources, media and formats. this evaluation demonstrates that the descriptors can robustly characterize essential properties of the segments. we propose three different applications of the descriptors: for diagnosing potential loudness problems in ingest material; as a means for performing a quality check, after processing/editing; or for use in a delivery specification.},}
TY - paper
TI - Loudness Descriptors to Characterize Programs and Music Tracks
SP -
EP -
AU - Skovenborg, Esben
AU - Lund, Thomas
PY - 2008
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2008
TY - paper
TI - Loudness Descriptors to Characterize Programs and Music Tracks
SP -
EP -
AU - Skovenborg, Esben
AU - Lund, Thomas
PY - 2008
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2008
AB - We present a set of key numbers to summarize loudness properties of an audio segment, broadcast program or music track: the loudness descriptors. The computation of these descriptors is based on a measurement of loudness level, such as specified by the ITU-R BS.1770. Two fundamental loudness descriptors are introduced: Center of Gravity and Consistency. These two descriptors were computed for a collection of audio segments from various sources, media and formats. This evaluation demonstrates that the descriptors can robustly characterize essential properties of the segments. We propose three different applications of the descriptors: for diagnosing potential loudness problems in ingest material; as a means for performing a quality check, after processing/editing; or for use in a delivery specification.
We present a set of key numbers to summarize loudness properties of an audio segment, broadcast program or music track: the loudness descriptors. The computation of these descriptors is based on a measurement of loudness level, such as specified by the ITU-R BS.1770. Two fundamental loudness descriptors are introduced: Center of Gravity and Consistency. These two descriptors were computed for a collection of audio segments from various sources, media and formats. This evaluation demonstrates that the descriptors can robustly characterize essential properties of the segments. We propose three different applications of the descriptors: for diagnosing potential loudness problems in ingest material; as a means for performing a quality check, after processing/editing; or for use in a delivery specification.
Authors:
Skovenborg, Esben; Lund, Thomas
Affiliations:
TC Group Research; TC Electronic(See document for exact affiliation information.)
AES Convention:
125 (October 2008)
Paper Number:
7514
Publication Date:
October 1, 2008Import into BibTeX
Subject:
Analysis and Synthesis of Sound
Permalink:
http://www.aes.org/e-lib/browse.cfm?elib=14666