Music is an important part of the human experience. Artists may have a tendency towards certain chords due to their vocal range, the mood of certain chords, or just habit. We study the progression of one chord sequence to another within two albums by the Canadian artist John K Samson. Based on the movement between chords we construct a finite Markov chain. We analyze the properties of this Markov chain, and we interpret the results in musical terms
International audienceWe propose an innovative approach for music description at several time-scales...
Random generation of music goes back at least to the 1700s with the introduction of Musical Dice Gam...
International audienceWe introduce a Maximum Entropy model able to capture the statistics of melodie...
It is often said that music and mathematics go hand in hand. As an undergraduate double major in bot...
This is a presentation of a novel method for measuring the distance between two seemingly analogous ...
International audienceAnalyzing and formalizing the intricate mechanisms of music is a very challeng...
Music is made up of a melody and chords that accompany the melody. Finding suitable chords, can be h...
This dissertation examines the connections between music and mathematics with particular reference t...
Music is temporal in nature, and each music piece has its own way of building expectations and surpr...
Abstract. Modelling the real world complexity of music is a challenge for ma-chine learning. We addr...
In this research, it is proposed that music can be thought of as ran-dom processes, and music style ...
In this paper, we explore the use of a Markov Decision Network to generate music. We show how the ne...
For more than a decade, music information science and musicology have been at what Nicholas Cook has...
The design of algorithms modelled on the abstraction of compositional formalisms has been practised...
Beyond solving daily logical problems, this project seeks to employ Artificial Intelligence in music...
International audienceWe propose an innovative approach for music description at several time-scales...
Random generation of music goes back at least to the 1700s with the introduction of Musical Dice Gam...
International audienceWe introduce a Maximum Entropy model able to capture the statistics of melodie...
It is often said that music and mathematics go hand in hand. As an undergraduate double major in bot...
This is a presentation of a novel method for measuring the distance between two seemingly analogous ...
International audienceAnalyzing and formalizing the intricate mechanisms of music is a very challeng...
Music is made up of a melody and chords that accompany the melody. Finding suitable chords, can be h...
This dissertation examines the connections between music and mathematics with particular reference t...
Music is temporal in nature, and each music piece has its own way of building expectations and surpr...
Abstract. Modelling the real world complexity of music is a challenge for ma-chine learning. We addr...
In this research, it is proposed that music can be thought of as ran-dom processes, and music style ...
In this paper, we explore the use of a Markov Decision Network to generate music. We show how the ne...
For more than a decade, music information science and musicology have been at what Nicholas Cook has...
The design of algorithms modelled on the abstraction of compositional formalisms has been practised...
Beyond solving daily logical problems, this project seeks to employ Artificial Intelligence in music...
International audienceWe propose an innovative approach for music description at several time-scales...
Random generation of music goes back at least to the 1700s with the introduction of Musical Dice Gam...
International audienceWe introduce a Maximum Entropy model able to capture the statistics of melodie...