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[PDF][PDF] Harmony Transformer: Incorporating chord segmentation into harmony recognition
TP Chen, L Su - Neural Netw, 2019 - archives.ismir.net
Musical harmony analysis is usually a process of unfolding and interpreting the hierarchical
structure of music. Computational approaches to such structural analysis are still …
structure of music. Computational approaches to such structural analysis are still …
[HTML][HTML] Attend to chords: Improving harmonic analysis of symbolic music using transformer-based models
TP Chen, L Su - Transactions of the International Society for …, 2021 - transactions.ismir.net
Automatic chord recognition (ACR) has long been a topic of interest in the field of Music
Information Retrieval (MIR), due to not only its commercial applications, but also its support …
Information Retrieval (MIR), due to not only its commercial applications, but also its support …
20 years of automatic chord recognition from audio
Resum In 1999, Fujishima published Realtime Chord Recognition of Musical Sound: a
System using Common Lisp Music. This paper kickstarted an active research topic that has …
System using Common Lisp Music. This paper kickstarted an active research topic that has …
Artificial musical intelligence: A survey
Computers have been used to analyze and create music since they were first introduced in
the 1950s and 1960s. Beginning in the late 1990s, the rise of the Internet and large scale …
the 1950s and 1960s. Beginning in the late 1990s, the rise of the Internet and large scale …
[PDF][PDF] A modular system for the harmonic analysis of musical scores using a large vocabulary
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 …
understanding its structure. Central to this analysis is the labeling of segments of a piece …
Combining real-time extraction and prediction of musical chord progressions for creative applications
Recently, the field of musical co-creativity has gained some momentum. In this context, our
goal is twofold: to develop an intelligent listening and predictive module of chord sequences …
goal is twofold: to develop an intelligent listening and predictive module of chord sequences …
Blending acoustic and language model predictions for automatic music transcription
In this paper, we introduce a method for converting an input probabilistic piano roll (the
output of a typical multi-pitch detection model) into a binary piano roll. The task is an …
output of a typical multi-pitch detection model) into a binary piano roll. The task is an …
[HTML][HTML] Global structure-aware drum transcription based on self-attention mechanisms
This paper describes an automatic drum transcription (ADT) method that directly estimates a
tatum-level drum score from a music signal in contrast to most conventional ADT methods …
tatum-level drum score from a music signal in contrast to most conventional ADT methods …