6 citations · 7 across the 7 of their papers we have counts for
8 papers
Perceptually Motivated Alignment and Interpolation of Pitch-Aligned Time-Frequency Representations
Shahan Nercessian, Jeff Sontag, Alejandro Koretzky
We propose a framework for the alignment and interpolation of pitch-aligned time-frequency representations. Building on the tonal interval vector, we introduce a series of extensio…
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…
Differentiable WORLD Synthesizer-based Neural Vocoder With Application To End-To-End Audio Style Transfer
Shahan Nercessian
In this paper, we propose a differentiable WORLD synthesizer and demonstrate its use in end-to-end audio style transfer tasks such as (singing) voice conversion and the DDSP timbre…
Lightweight and interpretable neural modeling of an audio distortion effect using hyperconditioned differentiable biquads
Shahan Nercessian, Andy Sarroff, Kurt James Werner
In this work, we propose using differentiable cascaded biquads to model an audio distortion effect. We extend trainable infinite impulse response (IIR) filters to the hyperconditio…