Chord progressions are the building blocks from which tonal music is constructed. Inferring chord progressions is thus an essential step towards modeling long term dependencies in music. In this paper, a distributed representation for chords is designed such that Euclidean distances roughly correspond to psychoacoustic dissimilarities. Estimated probabilities of chord substitutions are derived ...

We explore frame-level audio feature learning for chord recognition using artificial neural networks. We present the argument that chroma vectors potentially hold enough information to model harmonic content of audio for chord recognition, but that standard chroma extractors compute too noisy features. This leads us to propose a learned chroma feature extractor based on artificial neural networ...

Chord sequences and chord boundary is the midlevel performance of the music signal compactness and robustness. Automatic chord recognition is very attractive to researchers in the field of music information retrieval. To improve accuracy of musical chord recognition algorithm, in this study, the importance of keynote was fully considered. According to the music theory, 24 keynotes were defined....

We present an comparison between two recent approaches to the harmonic similarity of musical chords sequences. In contrast to earlier work, that mainly focuses on the similarity of musical scores or musical audio, in this paper we specifically use on the symbolic chord description as the primary musical representation and the similarity between sequences of these descriptions. In an experiment ...

An st-path in a drawing of a graph is self-approaching if during a traversal of the corresponding curve from s to any point t′ on the curve the distance to t′ is non-increasing. A path has increasing chords if it is self-approaching in both directions. A drawing is self-approaching (increasing-chord) if any pair of vertices is connected by a self-approaching (increasing-chord) path. We study se...

The computational analysis of musical harmony has received a lot of attention the last decades. Although it is widely recognized that extracting symbolic chord labels from music yields useful abstractions, and the number of chord labeling algorithms for symbolic and audio data is steadily growing, surprisingly little effort has been put into comparing sequences of chord labels. This study prese...

The automated extraction of chord labels from audio recordings constitutes a major task in music information retrieval. To evaluate computer-based chord labeling procedures, one requires ground truth annotations for the underlying audio material. However, the manual generation of such annotations on the basis of audio recordings is tedious and time-consuming. On the other hand, trained musician...

Chord recognition is a fundamental task in the harmonic analysis of tonal music, in which music is processed into a sequence of segments such that the notes in each segment are consistent with a corresponding chord label. We propose a machine learning model for chord recognition that uses semi-Markov Conditional Random Fields (semiCRFs) to perform a joint segmentation and labeling of symbolic m...

The automated extraction of chord labels from audio recordings constitutes a major task in music information retrieval. To evaluate computer-based chord labeling procedures, one requires ground truth annotations for the underlying audio material. However, the manual generation of such annotations on the basis of audio recordings is tedious and time-consuming. On the other hand, trained musician...

Efficient content distribution is one of the emerging applications in vehicular networks. To provide scalable content distribution in vehicular networks, Chord peer-to-peer overlay could be applied. Most P2P protocols, including Chord, are designed for wired-line network, and might perform poorly in mobile networks. Mobile Chord (MChord) is proposed to enhance the P2P performance over vehicular...