5 papers
Automatic Equalization for Individual Instrument Tracks Using Convolutional Neural Networks
Florian Mockenhaupt, Joscha Simon Rieber, Shahan Nercessian
We propose a novel approach for the automatic equalization of individual musical instrument tracks. Our method begins by identifying the instrument present within a source recordin…
Synthesizer Sound Matching Using Audio Spectrogram Transformers
Fred Bruford, Frederik Blang, Shahan Nercessian
Systems for synthesizer sound matching, which automatically set the parameters of a synthesizer to emulate an input sound, have the potential to make the process of synthesizer pro…
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…
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…
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…