Deep learning has become popular for many music processing tasks with Convolutional
Neural Networks (CNNs) often applied. CNNs can be computationally expensive, a problem …

Deep Learning (DL) has recently been applied successfully to the task of Cover Song
Identification (CSI). Meanwhile, neural networks that consider music signal data structure in …

Automatic Chord Recognition (ACR) is a popular task to which Deep Learning (DL) has
recently been successfully applied. ACR is considered as a classification problem wherein …

Octave equivalence serves as domain-knowledge in MIR systems, including chromagram,
spiral convolutional networks, and harmonic CQT. Prior work has applied the Isomap …

This thesis proposes a new, fully convolutional neural network architecture for frame-wise
automatic chord recognition and, by doing so, expands the deep learning vocabulary of the …

Multi-pitch estimation (MPE) is a fundamental yet challenging task in audio processing.
Recent MPE techniques based on deep learning have shown improved performance but are …