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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Automatic lyric alignment in Cantonese popular music.

January 2006 (has links)
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

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