75 citations · 156 across the 22 of their papers we have counts for
3 papers · 1 filter
Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source Separation
Daniel Stoller, Sebastian Ewert, Simon Dixon
Models for audio source separation usually operate on the magnitude spectrum, which ignores phase information and makes separation performance dependant on hyper-parameters for the…
Jointly Detecting and Separating Singing Voice: A Multi-Task Approach
Daniel Stoller, Sebastian Ewert, Simon Dixon
A main challenge in applying deep learning to music processing is the availability of training data. One potential solution is Multi-task Learning, in which the model also learns t…
Similarity measures for vocal-based drum sample retrieval using deep convolutional auto-encoders
Adib Mehrabi, Keunwoo Choi, Simon Dixon +1
The expressive nature of the voice provides a powerful medium for communicating sonic ideas, motivating recent research on methods for query by vocalisation. Meanwhile, deep learni…