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Found 4 papers, 1 papers with code
Data-Driven Room Acoustic Modeling Via Differentiable Feedback Delay Networks With Learnable Delay Lines
Over the past few decades, extensive research has been devoted to the design of artificial reverberation algorithms aimed at emulating the room acoustics of physical environments.
Toward Deep Drum Source Separation
In the past, the field of drum source separation faced significant challenges due to limited data availability, hindering the adoption of cutting-edge deep learning methods that have found success in other related audio applications.
A Deep Learning Approach for Low-Latency Packet Loss Concealment of Audio Signals in Networked Music Performance Applications
Networked Music Performance (NMP) is envisioned as a potential game changer among Internet applications: it aims at revolutionizing the traditional concept of musical interaction by enabling remote musicians to interact and perform together through a telecommunication network.
Unsupervised Domain Adaptation for Acoustic Scene Classification Using Band-Wise Statistics Matching
The performance of machine learning algorithms is known to be negatively affected by possible mismatches between training (source) and test (target) data distributions.
