Applications of Algorithmically-Generated Digital Audio for Web-Based Sonic Measure Ear Training
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C. Ariza, "Applications of Algorithmically-Generated Digital Audio for Web-Based Sonic Measure Ear Training," Paper 7645, (2008 October.). doi:
C. Ariza, "Applications of Algorithmically-Generated Digital Audio for Web-Based Sonic Measure Ear Training," Paper 7645, (2008 October.). doi:
Abstract: This paper examines applications of algorithmically-generated digital audio for a new type of ear training. This approach, called sonic measure ear training, circumvents the many limits of MIDI-based aural testing, and may offer a valuable resource for computer musicians and audio engineers. The Post-Ut system, introduced here, is the first web-based ear training system to offer sonic measure ear-training. After describing the design of the Post-Ut system, including the use of athenaCL, Csound, Python, and MySQL, the audio generation procedures are examined in detail. The design of questions and perceptual considerations are evaluated, and practical applications and opportunities for future development are outlined.
@article{ariza2008applications,
author={ariza, christopher},
journal={journal of the audio engineering society},
title={applications of algorithmically-generated digital audio for web-based sonic measure ear training},
year={2008},
volume={},
number={},
pages={},
doi={},
month={october},}
@article{ariza2008applications,
author={ariza, christopher},
journal={journal of the audio engineering society},
title={applications of algorithmically-generated digital audio for web-based sonic measure ear training},
year={2008},
volume={},
number={},
pages={},
doi={},
month={october},
abstract={this paper examines applications of algorithmically-generated digital audio for a new type of ear training. this approach, called sonic measure ear training, circumvents the many limits of midi-based aural testing, and may offer a valuable resource for computer musicians and audio engineers. the post-ut system, introduced here, is the first web-based ear training system to offer sonic measure ear-training. after describing the design of the post-ut system, including the use of athenacl, csound, python, and mysql, the audio generation procedures are examined in detail. the design of questions and perceptual considerations are evaluated, and practical applications and opportunities for future development are outlined.},}
TY - paper
TI - Applications of Algorithmically-Generated Digital Audio for Web-Based Sonic Measure Ear Training
SP -
EP -
AU - Ariza, Christopher
PY - 2008
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2008
TY - paper
TI - Applications of Algorithmically-Generated Digital Audio for Web-Based Sonic Measure Ear Training
SP -
EP -
AU - Ariza, Christopher
PY - 2008
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2008
AB - This paper examines applications of algorithmically-generated digital audio for a new type of ear training. This approach, called sonic measure ear training, circumvents the many limits of MIDI-based aural testing, and may offer a valuable resource for computer musicians and audio engineers. The Post-Ut system, introduced here, is the first web-based ear training system to offer sonic measure ear-training. After describing the design of the Post-Ut system, including the use of athenaCL, Csound, Python, and MySQL, the audio generation procedures are examined in detail. The design of questions and perceptual considerations are evaluated, and practical applications and opportunities for future development are outlined.
This paper examines applications of algorithmically-generated digital audio for a new type of ear training. This approach, called sonic measure ear training, circumvents the many limits of MIDI-based aural testing, and may offer a valuable resource for computer musicians and audio engineers. The Post-Ut system, introduced here, is the first web-based ear training system to offer sonic measure ear-training. After describing the design of the Post-Ut system, including the use of athenaCL, Csound, Python, and MySQL, the audio generation procedures are examined in detail. The design of questions and perceptual considerations are evaluated, and practical applications and opportunities for future development are outlined.
Author:
Ariza, Christopher
Affiliation:
Towson University
AES Convention:
125 (October 2008)
Paper Number:
7645
Publication Date:
October 1, 2008Import into BibTeX
Subject:
Audio Digital Signal Processing and Effects
Permalink:
http://www.aes.org/e-lib/browse.cfm?elib=14796