The harmonic analysis of a musical composition is a fundamental step towards
understanding its structure. Central to this analysis is the labeling of segments of a piece …

Automatic chord recognition can improve the performance of music information retrieval,
thereby optimizing the user experience of music electronic products. In order to improve the …

This paper describes a deep generative approach to joint chord and key estimation for
music signals. The limited amount of music signals with complete annotations has been the …

In this work, we introduce a template-based computational method to recognize chords
through an audio recording of a musical instrument. The algorithm is based on a temporal …

This paper describes a deep generative approach to jointly estimating chords and keys from
music signals. Although deep neural networks have widely been used for estimating various …

This thesis describes a statistical approach to automatic chord estimation (ACE) for music
signals. The chord is an important mid-level representation of polyphonic music that lies …

Deep learning models have recently led to significant improvements in a wide variety of
tasks. Known as being a very powerful tool capable of generalizing better than traditional …

This thesis investigates the impact of introducing musical properties in machine learning
models for the extraction and inference of musical features. Furthermore, it discusses the …

Stage lighting is a powerful tool to draw the audience into the music engagement in any
music or concert performances. The traditional stage lighting control often requires …

抄録 音楽におけるコードとは同時に演奏された 2 つ以上の音の配置ことである. このコードの推定
によって任意の雰囲気の楽曲の検索が可能になるが, 楽曲の調やコード順序の制約などの複雑な …