Return to search

Automatic lyric alignment in Cantonese popular music.

Wong Chi Hang. / Thesis submitted in: October 2005. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2006. / Includes bibliographical references (leaves 89-94). / Abstracts in English and Chinese. / Abstract --- p.ii / 摘要 --- p.iii / Acknowledgement --- p.iv / Chapter 1 --- Introduction --- p.1 / Chapter 2 --- Literature Review --- p.5 / Chapter 2.1 --- LyricAlly --- p.5 / Chapter 2.2 --- Singing Voice Detection --- p.6 / Chapter 2.3 --- Singing Transcription System --- p.7 / Chapter 3 --- Background and System Overview --- p.9 / Chapter 3.1 --- Background --- p.9 / Chapter 3.1.1 --- Audio Mixing Practices of the popular music industry --- p.10 / Chapter 3.1.2 --- Cantonese lyric writer practice --- p.11 / Chapter 3.2 --- System Overview --- p.13 / Chapter 4 --- Vocal Signal Enhancement --- p.15 / Chapter 4.1 --- Method --- p.15 / Chapter 4.1.1 --- Non-center Signal Estimation --- p.16 / Chapter 4.1.2 --- Center Signal Estimation --- p.17 / Chapter 4.1.3 --- Bass and drum reduction --- p.21 / Chapter 4.2 --- Experimental Results --- p.21 / Chapter 4.2.1 --- Experimental Setup --- p.21 / Chapter 4.2.2 --- Results and Discussion --- p.24 / Chapter 5 --- Onset Detection --- p.29 / Chapter 5.1 --- Method --- p.29 / Chapter 5.1.1 --- Envelope Extraction --- p.30 / Chapter 5.1.2 --- Relative Difference Function --- p.32 / Chapter 5.1.3 --- Post-Processing --- p.32 / Chapter 5.2 --- Experimental Results --- p.34 / Chapter 5.2.1 --- Experimental Setup --- p.34 / Chapter 5.2.2 --- Results and Discussion --- p.35 / Chapter 6 --- Non-vocal Pruning --- p.39 / Chapter 6.1 --- Method --- p.39 / Chapter 6.1.1 --- Vocal Feature Selection --- p.39 / Chapter 6.1.2 --- Feed-forward neural network --- p.44 / Chapter 6.2 --- Experimental Results --- p.46 / Chapter 6.2.1 --- Experimental Setup --- p.46 / Chapter 6.2.2 --- Results and Discussion --- p.48 / Chapter 7 --- Lyric Feature Extraction --- p.51 / Chapter 7.1 --- Features --- p.52 / Chapter 7.1.1 --- Relative Pitch Feature --- p.52 / Chapter 7.1.2 --- Time Distance Feature --- p.54 / Chapter 7.2 --- Pitch Extraction --- p.56 / Chapter 7.2.1 --- f0 Detection Algorithms --- p.56 / Chapter 7.2.2 --- Post-Processing --- p.64 / Chapter 7.2.3 --- Experimental Results --- p.64 / Chapter 8 --- Lyrics Alignment --- p.69 / Chapter 8.1 --- Dynamic Time Warping --- p.69 / Chapter 8.2 --- Experimental Results --- p.72 / Chapter 8.2.1 --- Experimental Setup --- p.72 / Chapter 8.2.2 --- Results and Discussion --- p.74 / Chapter 9 --- Conclusion and Future Work --- p.82 / Chapter 9.1 --- Conclusion --- p.82 / Chapter 9.2 --- Future Work --- p.83 / Chapter A --- Publications --- p.85 / Chapter B --- Symbol Table --- p.86 / Bibliography --- p.89

Identiferoai:union.ndltd.org:cuhk.edu.hk/oai:cuhk-dr:cuhk_325479
Date January 2006
ContributorsWong, Chi Hang., Chinese University of Hong Kong Graduate School. Division of Computer Science and Engineering.
Source SetsThe Chinese University of Hong Kong
LanguageEnglish, Chinese
Detected LanguageEnglish
TypeText, bibliography
Formatprint, xviii, 94 leaves : ill. (some col.) ; 30 cm.
RightsUse of this resource is governed by the terms and conditions of the Creative Commons “Attribution-NonCommercial-NoDerivatives 4.0 International” License (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Page generated in 0.0018 seconds