Advancing deep learning for expressive music composition and performance modeling
Abstract The pursuit of expressive and human-like music generation remains a significant challenge in the field of artificial intelligence (AI). While deep learning has advanced AI music composition and transcription, current models often struggle with long-term structural coherence and emotional nu...
Saved in:
| Main Author: | Man Zhang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-13064-6 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Partially Binarized Deep MUSIC for Multiple Target Angle Estimation Using Wireless Sensor Array Systems
by: Jongsung Kang, et al.
Published: (2025-05-01) -
Real-time congestion control using cascaded LSTM deep neural networks for deregulated power markets
by: G. Madhu Mohan, et al.
Published: (2025-08-01) -
Music audio emotion regression using the fusion of convolutional neural networks and bidirectional long short-term memory models
by: Yi Qiu, et al.
Published: (2025-07-01) -
AGASI: A Generative Adversarial Network-Based Approach to Strengthening Adversarial Image Steganography
by: Haiju Fan, et al.
Published: (2025-03-01) -
DAGAN-Based Gait Features Augmentation for Ankle Instability Detection
by: Xin Liu, et al.
Published: (2025-01-01)