MIDI encoding method based on variable frame-length analysis and its evaluation of coding precision

The MIDI interface was originally designed for electronic musical instruments but we consider that this music-note based coding concept can be extended to general acoustic signal description. We propose applying MIDI technology to coding of biomedical auscultation sound signals such as heart sounds for medical records and telemedicine. We have tried to extend our encoding algorithm in order to apply it to vocal sounds. Currently, we are trying to improve the coding precision based on variable frame-length frequency analysis considering auditory parameters in humans towards general-purpose audio coding applications. We present our improved high-precision MIDI encoding algorithm for reproducing high-quality vocal sounds, and present an evaluation of its coding precision by an automatic notation experiment of short piano sounds.

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