Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/66736
Title: Automatic music transcription
Authors: Yang, Qihuang
Keywords: DRNTU::Engineering
Issue Date: 2016
Abstract: In the recent years, many methods on automatic music transcription are proposed. Due to interests in Harmonic Adaptive Latent Component Analysis (HALCA) model and its application to music transcription, in this project report, I reviewed the works about the HALCA model theory and related previous works in order to find any possible ways to improve the performance of the music transcription program based on HALCA model. My work can be divided into three parts. Firstly, a new sliced CQT is used to replace the current CQT method in the given program. Then I worked on post-processing algorithm to improve the performance of HALCA to music transcription. Thirdly, an effort is made to find an automatic threshold determination method for extracting information. Finally, limitations of current methods are analyzed and future research directions are identified.
URI: http://hdl.handle.net/10356/66736
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

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