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Found 7 papers, 4 papers with code
Towards Efficient and Real-Time Piano Transcription Using Neural Autoregressive Models
To this end, we propose novel architectures for convolutional recurrent neural networks, redesigning an existing autoregressive piano transcription model.
A Real-Time Lyrics Alignment System Using Chroma And Phonetic Features For Classical Vocal Performance
The goal of real-time lyrics alignment is to take live singing audio as input and to pinpoint the exact position within given lyrics on the fly.
YM2413-MDB: A Multi-Instrumental FM Video Game Music Dataset with Emotion Annotations
In addition, they generally lack high-level annotations such as emotion tags.
TräumerAI: Dreaming Music with StyleGAN
The goal of this paper to generate a visually appealing video that responds to music with a neural network so that each frame of the video reflects the musical characteristics of the corresponding audio clip.
Ranked #1 on
Music Auto-Tagging
on TimeTravel
(using extra training data)
Polyphonic Piano Transcription Using Autoregressive Multi-State Note Model
Recent advances in polyphonic piano transcription have been made primarily by a deliberate design of neural network architectures that detect different note states such as onset or sustain and model the temporal evolution of the states.
VirtuosoNet: A Hierarchical RNN-based System for Modeling Expressive Piano Performance
In this paper, we present our application of deep neural network to modeling piano performance, which imitates the expressive control of tempo, dynamics, articulations and pedaling from pianists.
Graph Neural Network for Music Score Data and Modeling Expressive Piano Performance
Music score is often handled as one-dimensional sequential data.
