PowerPoint 프레젠테이션 Page 1 경영과학연구실 이태헌 2023.07.09 Deep salience
representations for f0 estimation in polyphonic music 1 Bittner, Rachel M., et al. "Deep Salience …

The understanding of the surrounding environment plays a critical role in autonomous
robotic systems, such as self-driving cars. Extensive research has been carried out …

Music genre classification is one of the sub-disciplines of music information retrieval (MIR)
with growing popularity among researchers, mainly due to the already open challenges …

A Phonocardiogram (PCG) signal represents murmurs and sounds signals made by
vibrations caused for the period of a cardiac cycle. Acoustic wave generated through the …

Most work on automatic transcription produces “piano roll” data with no musical
interpretation of the rhythm or pitches. We present a polyphonic transcription method that …

We investigate a late-fusion approach to piano transcription, combined with a strong
temporal prior in the form of a handcrafted Hidden Markov Model (HMM). The network …

We present an automatic piano transcription system that converts polyphonic audio
recordings into musical scores. This has been a long-standing problem of music information …

Neural networks, and especially long short-term memory networks (LSTM), have become
increasingly popular for sequence modelling, be it in text, speech, or music. In this paper, we …

In this work, we present an end-to-end framework for audio-to-score transcription. To the
best of our knowledge, this is the first automatic music transcription approach which obtains …

We demonstrate that piano transcription performance for a known piano can be improved by
explicitly modelling piano acoustical features. The proposed method is based on non …