Over the past months, we attempted to let transformer models learn to generate full-song music, and here is our first attempt towards that, the Compound Word Transformer. A paper describing this work is going to be published as a full paper at AAAI 2021, the premier conference in the field of artificial intelligence. You can […]
At the Yating Music Team of the Taiwan AI Labs, we are developing new music composing AI models extending from our previous Pop Music Transformer model (see the previous blog). In October 2020, we are going to present two full papers documenting some of our latest result at the International Society for Music Information Retrieval […]
Paper (ACM Multimedia 2020): https://arxiv.org/abs/2002.00212 (pre-print) Code (GitHub): https://github.com/YatingMusic/remi We’ve developed Pop Music Transformer, a deep learning model that can generate pieces of expressive Pop piano music of several minutes. Unlike existing models for music composition, our model learns to compose music over a metrical structure defined in terms of bars, beats, and sub-beats. […]
AI needs a lot of music examples to learn to compose music. The quality and diversity of the music examples can be the key to the success of the AI. Typically, researchers begin with training an AI music composition model by learning from symbolic music data such as MIDI files. This is how we developed […]
November 2018 marks the debut of Yating, an AI Pianist that learns to compose and perform keyboard-style music by means of the AI technology we are developing here at the Taiwan AI Labs. Instead of playing pre-existing music, Yating listens to you and composes original piano music on-the-fly in response to the affective cues found […]