The development dataset contains 6000 MIDI files with monophonic melodies generated by artificial intelligence algorithms. The tempo is between the 68bpm and 118bpm (beat per minute). The length of each melody is 8 bars, and the melody does not necessarily include complete phrase structures. There are two datasets with different music styles used as the training dataset of a certain number of algorithms, where the melodies in the development dataset are generated. The website of the challenge: http://www.csmcw-csmt.cn/data/2020/ai-composition-recognition2020 (Chinese instruction) https://ai-composition-recognition2020.github.io/english.html (English instruction
The application of artificial intelligence (AI) to music stretches back many decades, and presents n...
The aim of this thesis is to review the current state of machine learning in music composition and t...
Music composition requires years of experience in music theories and practices, but listening to mus...
We discuss the design and results of The Ai Music Generation Challenge 2021 and compare it to the ch...
We discuss the design and results of The Ai Music Generation Challenge 2022 and compare it to the pr...
https://aimc2023.pubpub.org/pub/ynxz9uu7 We discuss the design and results of The Ai Music Generati...
Tools and methodologies for distinguishing computer-generated melodies from human-composed melodies ...
The MuseSyn (v1.0) dataset is a dataset created for complete automatic music transcription, consisti...
This article describes and analyses the Ai Music Generation Challenge 2020, where seven participants...
Machine learning is challenging the way we make music. Although research in deep generative models h...
This article describes and analyses the Ai Music Generation Challenge 2020,where seven participants ...
In music there are a set of rules a melody must follow in order to sound pleasant to the listener. I...
These are the pre-trained models for the code in our paper: Lele Liu, Qiuqiang Kong, Veronica M...
To make music composition more approachable, we designed the first AI-powered Google Doodle, the Bac...
Background/Objectives: Artificial intelligence (AI) is an emerging tool for leveraging human talent....
The application of artificial intelligence (AI) to music stretches back many decades, and presents n...
The aim of this thesis is to review the current state of machine learning in music composition and t...
Music composition requires years of experience in music theories and practices, but listening to mus...
We discuss the design and results of The Ai Music Generation Challenge 2021 and compare it to the ch...
We discuss the design and results of The Ai Music Generation Challenge 2022 and compare it to the pr...
https://aimc2023.pubpub.org/pub/ynxz9uu7 We discuss the design and results of The Ai Music Generati...
Tools and methodologies for distinguishing computer-generated melodies from human-composed melodies ...
The MuseSyn (v1.0) dataset is a dataset created for complete automatic music transcription, consisti...
This article describes and analyses the Ai Music Generation Challenge 2020, where seven participants...
Machine learning is challenging the way we make music. Although research in deep generative models h...
This article describes and analyses the Ai Music Generation Challenge 2020,where seven participants ...
In music there are a set of rules a melody must follow in order to sound pleasant to the listener. I...
These are the pre-trained models for the code in our paper: Lele Liu, Qiuqiang Kong, Veronica M...
To make music composition more approachable, we designed the first AI-powered Google Doodle, the Bac...
Background/Objectives: Artificial intelligence (AI) is an emerging tool for leveraging human talent....
The application of artificial intelligence (AI) to music stretches back many decades, and presents n...
The aim of this thesis is to review the current state of machine learning in music composition and t...
Music composition requires years of experience in music theories and practices, but listening to mus...