Versatile music processing by combining statistical signal processing and music theory

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We investigated signal and information processing of music, acoustic and speech by integrating statistical signal processing and mathematical models of music theory. Just as integration of acoustic and linguistic processing was the key technology in speech recognition, integrating signal processing and music theory is essential in music processing. More precisely, we developed A: analysis, conversion, separation and detection of music signals based on mathematical models and statistical learning, B: chord recognition, rhythm analysis, segmentation, structural analysis, genre recognition based on mathematical formulation of music theory, and C: automatic music rendering, automatic music composition, automatic music accompaniment and automatic music arrangement based on machine learning and mathematical optimization.