MusiCoder: A Universal Music-Acoustic Encoder Based on Transformer

A Study on Music Genre Classification Based on Universal Acoustic Models

Classification of musical genres gives a useful measure of similarity and is often the most useful descriptor of a musical piece. Previous techniques to use hidden Markov models (HMMs) for automatic genre classification have used a single HMM to model an entire song or genre. This paper provides a framework to give finer segmentation of HMMs through acoustic segment modeling. Modeling each of t...

Universal Information Architecture of Acoustic Music Instruments

The information architecture of acoustic music instruments is described. As contemporary acoustic research has not yet covered all the possible materials, shapes, designs, and other essential properties of possible acoustic instruments, the model proposed in this chapter serves as a high-level analysis with meta-level XML-based markup elements and attributes. The ultimate design goal of the pro...

Classical Music Clustering Based on Acoustic Features

In this paper we cluster 330 classical music pieces collected from MusicNet database based on their musical note sequence. We use shingling and chord trajectory matrices to create signature for each music piece and performed spectral clustering to find the clusters. Based on different resolution, the output clusters distinctively indicate composition from different classical music era and diffe...

Power Transformer Diagnostics Based on Acoustic Emission Method

Acoustic Spectroscopy of Magnetic Fluid Based on Transformer Oil

The structural changes in a magnetic fluid (formation of clusters) upon the effect of an external magnetic field were studied by acoustic spectroscopy. The properties of magnetic fluid dispersed in inhibited transformer oil ITO 100 have been studied by the analysis of changes in the acoustic wave absorption coefficient. The absorption coefficient of acoustic waves was measured as a function of ...