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Automated alignment of song lyrics for portable audio device display
Descriptive
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Title
Automated alignment of song lyrics for portable audio device display
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Maguire
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Brian
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Brian Maguire
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author
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Lawrence
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Advisory Committee
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Lawrence R Rabiner
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Wilder
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Joseph
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Advisory Committee
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Joseph Wilder
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internal member
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Ivan
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Advisory Committee
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Ivan Marsic
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Rutgers University
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Graduate School - New Brunswick
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school
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theses
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2008
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2008-10
Language
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English
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electronic
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application/pdf
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Extent
viii, 63 pages
Abstract
With its substantial improvement in storage and processing power over traditional audio media,
the MP3 player has quickly become the standard for portable audio devices. These improvements
have allowed for enhanced services such as album artwork display and video playback. Anothersuch service that could be offered on today's MP3 players is the synchronized display of song lyrics.
The goal of this thesis is to show that this can be implemented efficiently using the techniques of HMM based speech recognition. Two assumptions are made that simplify this process. First, we assume that the lyrics to any song can be obtained and stored on the device along with the audio file. Second, the processing can be done just once when the song is initially loaded, and the time indices indicating word start times can also be stored and used to guide the synchronized lyrical display. Several simplified cases of the lyrical alignment problem are implemented and tested here.
Two separate models are trained, one containing a single male vocalist with no accompaniment, and another containing the same vocalist with simple guitar accompaniment. Model parameters are varied to examine their effect on alignment performance, and the models are tested using independent audio files containing the same vocalist and additional vocal and guitar accompaniment. The test configurations are evaluated for objective accuracy, by comparison to manually determined word start times, and subjective accuracy, by carrying out a perceptual test in which users rate the perceived quality of alignment. In all but one of the test configurations evaluated here, a high level of objective and subjective accuracy is achieved. While well short of a commercially viable lyrical
alignment system, these results suggest that with further investigation the approach outlined here can in fact produce such a system to effectively align an entire music library.
the MP3 player has quickly become the standard for portable audio devices. These improvements
have allowed for enhanced services such as album artwork display and video playback. Anothersuch service that could be offered on today's MP3 players is the synchronized display of song lyrics.
The goal of this thesis is to show that this can be implemented efficiently using the techniques of HMM based speech recognition. Two assumptions are made that simplify this process. First, we assume that the lyrics to any song can be obtained and stored on the device along with the audio file. Second, the processing can be done just once when the song is initially loaded, and the time indices indicating word start times can also be stored and used to guide the synchronized lyrical display. Several simplified cases of the lyrical alignment problem are implemented and tested here.
Two separate models are trained, one containing a single male vocalist with no accompaniment, and another containing the same vocalist with simple guitar accompaniment. Model parameters are varied to examine their effect on alignment performance, and the models are tested using independent audio files containing the same vocalist and additional vocal and guitar accompaniment. The test configurations are evaluated for objective accuracy, by comparison to manually determined word start times, and subjective accuracy, by carrying out a perceptual test in which users rate the perceived quality of alignment. In all but one of the test configurations evaluated here, a high level of objective and subjective accuracy is achieved. While well short of a commercially viable lyrical
alignment system, these results suggest that with further investigation the approach outlined here can in fact produce such a system to effectively align an entire music library.
Note
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M.S.
Note
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Includes bibliographical references (p. 63).
Subject
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Topic
Electrical and Computer Engineering
Subject
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Topic
Songs--Texts
Subject
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Topic
Digital music players
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Graduate School - New Brunswick Electronic Theses and Dissertations
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rucore19991600001
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http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.17522
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ETD_1260
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NjNbRU
Identifier
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doi:10.7282/T33F4PXD
Genre
(authority = ExL-Esploro)
ETD graduate
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Rights
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The author owns the copyright to this work.
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Copyright protected
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Open
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Brian Maguire
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Rutgers University. Graduate School - New Brunswick
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Non-exclusive ETD license
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Author Agreement License
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I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
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