Alignment and Timeline Construction for Incomplete Analogue Audience Recordings of Historical Live Music Concerts
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T. Wilmering, F. Thalmann, and M. Sandler, "Alignment and Timeline Construction for Incomplete Analogue Audience Recordings of Historical Live Music Concerts," Paper 10271, (2019 October.). doi:
T. Wilmering, F. Thalmann, and M. Sandler, "Alignment and Timeline Construction for Incomplete Analogue Audience Recordings of Historical Live Music Concerts," Paper 10271, (2019 October.). doi:
Abstract: Analogue recordings pose specific problems during automatic alignment, such as distortion due to physical degradation, or differences in tape speed during recording, copying, and digitization. Oftentimes, recordings are incomplete, exhibiting gaps with different lengths. In this paper we propose a method to align multiple digitized analogue recordings of same concerts of varying quality and song segmentations. The process includes the automatic construction of a reference concert timeline. We evaluate alignment methods on a synthetic dataset and apply our algorithm to real-world data.
@article{wilmering2019alignment,
author={wilmering, thomas and thalmann, florian and sandler, mark},
journal={journal of the audio engineering society},
title={alignment and timeline construction for incomplete analogue audience recordings of historical live music concerts},
year={2019},
volume={},
number={},
pages={},
doi={},
month={october},}
@article{wilmering2019alignment,
author={wilmering, thomas and thalmann, florian and sandler, mark},
journal={journal of the audio engineering society},
title={alignment and timeline construction for incomplete analogue audience recordings of historical live music concerts},
year={2019},
volume={},
number={},
pages={},
doi={},
month={october},
abstract={analogue recordings pose specific problems during automatic alignment, such as distortion due to physical degradation, or differences in tape speed during recording, copying, and digitization. oftentimes, recordings are incomplete, exhibiting gaps with different lengths. in this paper we propose a method to align multiple digitized analogue recordings of same concerts of varying quality and song segmentations. the process includes the automatic construction of a reference concert timeline. we evaluate alignment methods on a synthetic dataset and apply our algorithm to real-world data.},}
TY - paper
TI - Alignment and Timeline Construction for Incomplete Analogue Audience Recordings of Historical Live Music Concerts
SP -
EP -
AU - Wilmering, Thomas
AU - Thalmann, Florian
AU - Sandler, Mark
PY - 2019
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2019
TY - paper
TI - Alignment and Timeline Construction for Incomplete Analogue Audience Recordings of Historical Live Music Concerts
SP -
EP -
AU - Wilmering, Thomas
AU - Thalmann, Florian
AU - Sandler, Mark
PY - 2019
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2019
AB - Analogue recordings pose specific problems during automatic alignment, such as distortion due to physical degradation, or differences in tape speed during recording, copying, and digitization. Oftentimes, recordings are incomplete, exhibiting gaps with different lengths. In this paper we propose a method to align multiple digitized analogue recordings of same concerts of varying quality and song segmentations. The process includes the automatic construction of a reference concert timeline. We evaluate alignment methods on a synthetic dataset and apply our algorithm to real-world data.
Analogue recordings pose specific problems during automatic alignment, such as distortion due to physical degradation, or differences in tape speed during recording, copying, and digitization. Oftentimes, recordings are incomplete, exhibiting gaps with different lengths. In this paper we propose a method to align multiple digitized analogue recordings of same concerts of varying quality and song segmentations. The process includes the automatic construction of a reference concert timeline. We evaluate alignment methods on a synthetic dataset and apply our algorithm to real-world data.
Authors:
Wilmering, Thomas; Thalmann, Florian; Sandler, Mark
Affiliation:
Centre for Digital Music (C4DM), Queen Mary University of London, London, UK
AES Convention:
147 (October 2019)
Paper Number:
10271
Publication Date:
October 8, 2019Import into BibTeX
Subject:
Posters: Applications in Audio
Permalink:
http://www.aes.org/e-lib/browse.cfm?elib=20644