7 papers · 1 filter
LiveBand: Live Accompaniment Generation in the Audio Domain
Marco Pasini, Javier Nistal, Ben Hayes +3
We present LiveBand, a real-time system that generates high-fidelity music accompaniments to live audio input, respecting strict causal constraints. Our method trains a causal tran…
Perceptually Aligning Representations of Music via Noise-Augmented Autoencoders
Mathias Rose Bjare, Giorgia Cantisani, Marco Pasini +2
We argue that training autoencoders to reconstruct inputs from noised versions of their encodings, when combined with perceptually motivated losses, yields encodings that are struc…
Estimating Musical Surprisal from Audio in Autoregressive Diffusion Model Noise Spaces
Mathias Rose Bjare, Stefan Lattner, Gerhard Widmer
Recently, the information content (IC) of predictions from a Generative Infinite-Vocabulary Transformer (GIVT) has been used to model musical expectancy and surprisal in audio. We…
Estimating Musical Surprisal in Audio
Mathias Rose Bjare, Giorgia Cantisani, Stefan Lattner +1
In modeling musical surprisal expectancy with computational methods, it has been proposed to use the information content (IC) of one-step predictions from an autoregressive model a…
Controlling Surprisal in Music Generation via Information Content Curve Matching
Mathias Rose Bjare, Stefan Lattner, Gerhard Widmer
In recent years, the quality and public interest in music generation systems have grown, encouraging research into various ways to control these systems. We propose a novel method…
Exploring Sampling Techniques for Generating Melodies with a Transformer Language Model
Mathias Rose Bjare, Stefan Lattner, Gerhard Widmer
Research in natural language processing has demonstrated that the quality of generations from trained autoregressive language models is significantly influenced by the used samplin…
On the Typicality of Musical Sequences
Mathias Rose Bjare, Stefan Lattner
It has been shown in a recent publication that words in human-produced English language tend to have an information content close to the conditional entropy. In this paper, we show…