activity
20222026
most citedDistortion Audio Effects: Learning How to Recover the Clean Signal

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.SD2026

Smorph: Playable Sound Morphing with Diffusion Models

Annie Chu, Hugo Flores García, Johannes Imort +5

Sound morphing, generating intermediate sounds that transition from one sonic identity to another, can be a powerful tool for musical sound design. Existing diffusion-based morphin…

eess.AS2024

Generating Sample-Based Musical Instruments Using Neural Audio Codec Language Models

Shahan Nercessian, Johannes Imort, Ninon Devis +1

In this paper, we propose and investigate the use of neural audio codec language models for the automatic generation of sample-based musical instruments based on text or reference…

eess.AS2024

DSP-informed bandwidth extension using locally-conditioned excitation and linear time-varying filter subnetworks

Shahan Nercessian, Alexey Lukin, Johannes Imort

In this paper, we propose a dual-stage architecture for bandwidth extension (BWE) increasing the effective sampling rate of speech signals from 8 kHz to 48 kHz. Unlike existing end…

eess.AS2023

InstrumentGen: Generating Sample-Based Musical Instruments From Text

Shahan Nercessian, Johannes Imort

We introduce the text-to-instrument task, which aims at generating sample-based musical instruments based on textual prompts. Accordingly, we propose InstrumentGen, a model that ex…

eess.AS2022★ 1 cited

Distortion Audio Effects: Learning How to Recover the Clean Signal

Johannes Imort, Giorgio Fabbro, Marco A. Martínez Ramírez +3

Given the recent advances in music source separation and automatic mixing, removing audio effects in music tracks is a meaningful step toward developing an automated remixing syste…