50 citations · 75 across the 26 of their papers we have counts for
4 papers · 1 filter
Open-Amp: Synthetic Data Framework for Audio Effect Foundation Models
Alec Wright, Alistair Carson, Lauri Juvela
This paper introduces Open-Amp, a synthetic data framework for generating large-scale and diverse audio effects data. Audio effects are relevant to many musical audio processing an…
Audio Codec Augmentation for Robust Collaborative Watermarking of Speech Synthesis
Lauri Juvela, Xin Wang
Automatic detection of synthetic speech is becoming increasingly important as current synthesis methods are both near indistinguishable from human speech and widely accessible to t…
HiFi-Glot: High-Fidelity Neural Formant Synthesis with Differentiable Resonant Filters
Yicheng Gu, Pablo Pérez Zarazaga, Chaoren Wang +4
Formant synthesis aims to generate speech with controllable formant structures, enabling precise control of vocal resonance and phonetic features. However, while existing formant s…
End-to-End Amp Modeling: From Data to Controllable Guitar Amplifier Models
Lauri Juvela, Eero-Pekka Damskägg, Aleksi Peussa +4
This paper describes a data-driven approach to creating real-time neural network models of guitar amplifiers, recreating the amplifiers' sonic response to arbitrary inputs at the f…