Automatic Music Transcription dedicated to Chinese Traditional Plucked String Instrument Pipa using Multi-string Probabilistic Latent Component Analysis Models

11th International Conference of Pattern Recognition Systems (ICPRS 2021)(2021)

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摘要
The Probabilistic Latent Component Analysis (PLCA) provides a flexible and highly interpretable framework to model a diversity of music features such as note event specific features (e.g. pitch, duration, amplitude, frequency shifting) and higherlevel knowledge like instrument timbre for Automatic Music Transcription (AMT). In this paper, Multi-String PLCA (MSPLCA) is proposed and allows to model ...
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关键词
musical instruments,music,acoustic signal processing,information retrieval
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