859 citations · 877 across the 4 of their papers we have counts for
4 papers
End-To-End Dilated Variational Autoencoder with Bottleneck Discriminative Loss for Sound Morphing -- A Preliminary Study
Matteo Lionello, Hendrik Purwins
We present a preliminary study on an end-to-end variational autoencoder (VAE) for sound morphing. Two VAE variants are compared: VAE with dilation layers (DC-VAE) and VAE only with…
Deep Learning for Audio Signal Processing
Hendrik Purwins, Bo Li, Tuomas Virtanen +3
Given the recent surge in developments of deep learning, this article provides a review of the state-of-the-art deep learning techniques for audio signal processing. Speech, music,…
Utilizing Domain Knowledge in End-to-End Audio Processing
Tycho Max Sylvester Tax, Jose Luis Diez Antich, Hendrik Purwins +1
End-to-end neural network based approaches to audio modelling are generally outperformed by models trained on high-level data representations. In this paper we present preliminary…
Unsupervised Incremental Learning and Prediction of Music Signals
Ricard Marxer, Hendrik Purwins
A system is presented that segments, clusters and predicts musical audio in an unsupervised manner, adjusting the number of (timbre) clusters instantaneously to the audio input. A…