Research

Preliminary Study on Morphing of Chord Progression

Reharmonization is changing the chord progression of music to alter the impression of harmony. To generate a variety of reharmonizations, morphing between a small number of instances of manual reharmonization is expected to be a practical approach. We propose a method of morphing between reharmonized chord progressions using a variable autoencoder (VAE). Experimental results show that our method generates new chord progressions based on interpolation between prepared chord progressions in the latent space obtained through the VAE.


Music Part Detection in Music Television Program on Chroma Vector Analysis


We propose a music part detection method incorporating chroma vector analysis for use with music TV programs. Results show that envelopes of chroma components of music signals tend to have horizontal (i.e. temporal) correlation in time-frequency representation because music signals have a periodic chord sequences. Based on this fact, we analyze time series of chroma components and attempt to segment music parts in music TV programs from other parts.


Effects of Audio Compression on Chord Recognition

We specifically examine audio compression effect on the chroma vector, which is a commonly used feature vector for music signal processing. We analyze sound qualities extracted from encoded music files with different bit rates and compare them with the chroma features of original songs obtained using datasets for chord recognition. The compression ratio influences the sound quality between compressed and original songs, but low bit rate compression does not strongly affect the chord recognition accuracy.