Music-listening systems
Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Architecture, 2000.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2006
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| Online Access: | http://hdl.handle.net/1721.1/31091 |
| _version_ | 1826210301461135360 |
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| author | Scheirer, Eric David |
| author2 | Barry L. Vercoe. |
| author_facet | Barry L. Vercoe. Scheirer, Eric David |
| author_sort | Scheirer, Eric David |
| collection | MIT |
| description | Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Architecture, 2000. |
| first_indexed | 2024-09-23T14:47:38Z |
| format | Thesis |
| id | mit-1721.1/31091 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T14:47:38Z |
| publishDate | 2006 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/310912019-04-11T11:47:29Z Music-listening systems Scheirer, Eric David Barry L. Vercoe. Massachusetts Institute of Technology. Dept. of Architecture. Massachusetts Institute of Technology. Dept. of Architecture. Architecture. Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Architecture, 2000. Includes bibliographical references (p. [235]-248). When human listeners are confronted with musical sounds, they rapidly and automatically orient themselves in the music. Even musically untrained listeners have an exceptional ability to make rapid judgments about music from very short examples, such as determining the music's style, performer, beat, complexity, and emotional impact. However, there are presently no theories of music perception that can explain this behavior, and it has proven very difficult to build computer music-analysis tools with similar capabilities. This dissertation examines the psychoacoustic origins of the early stages of music listening in humans, using both experimental and computer-modeling approaches. The results of this research enable the construction of automatic machine-listening systems that can make human-like judgments about short musical stimuli. New models are presented that explain the perception of musical tempo, the perceived segmentation of sound scenes into multiple auditory images, and the extraction of musical features from complex musical sounds. These models are implemented as signal-processing and pattern-recognition computer programs, using the principle of understanding without separation. Two experiments with human listeners study the rapid assignment of high-level judgments to musical stimuli, and it is demonstrated that many of the experimental results can be explained with a multiple-regression model on the extracted musical features. From a theoretical standpoint, the thesis shows how theories of music perception can be grounded in a principled way upon psychoacoustic models in a computational-auditory-scene-analysis framework. Further, the perceptual theory presented is more relevant to everyday listeners and situations than are previous cognitive-structuralist approaches to music perception and cognition. From a practical standpoint, the various models form a set of computer signal-processing and pattern-recognition tools that can mimic human perceptual abilities on a variety of musical tasks such as tapping along with the beat, parsing music into sections, making semantic judgments about musical examples, and estimating the similarity of two pieces of music. Eric D. Scheirer. Ph.D. 2006-02-02T18:47:03Z 2006-02-02T18:47:03Z 2000 2000 Thesis http://hdl.handle.net/1721.1/31091 47799227 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 248 p. 20993009 bytes 21025669 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology |
| spellingShingle | Architecture. Scheirer, Eric David Music-listening systems |
| title | Music-listening systems |
| title_full | Music-listening systems |
| title_fullStr | Music-listening systems |
| title_full_unstemmed | Music-listening systems |
| title_short | Music-listening systems |
| title_sort | music listening systems |
| topic | Architecture. |
| url | http://hdl.handle.net/1721.1/31091 |
| work_keys_str_mv | AT scheirerericdavid musiclisteningsystems |