Browsing School of Electronic Engineering and Computer Science by Author "Mitcheltree, C"

Now showing items 1-6 of 6

    • Differentiable All-pole Filters for Time-varying Audio Systems 

      Yu, C-Y; Mitcheltree, C; Carson, A; Bilbao, S; Reiss, J; Fazekas, G; International Conference on Digital Audio Effects 2024 (2024)
      Infinite impulse response filters are an essential building block of many time-varying audio systems, such as audio effects and synthesisers. However, their recursive structure impedes end-toend training of these systems ...

    • DMRN+18: Digital Music Research Network One-day Workshop 2023 

      Zehren, M; Riley, X; Gillick, J; Cheston, H; Mo, R; Mitchell, E; Baker, T; Li, Y; Le, D-V-T; D'Hooge, A (Centre for Digital Music - C4DM (QMUL), 2023-12-19)
      DMRN+18: Digital Music Research Network One-day Workshop 2023 Queen Mary University of London Tuesday 19th December 2023 • Keynote speaker: Stefan Bilbao The Digital Music Research Network (DMRN) aims to promote research ...

    • Kymatio: Deep Learning meets Wavelet Theory for Music Signal Processing 

      Vahidi, C; Mitcheltree, C; Lostanlen, V (2023-11-05)
      We present a tutorial on MIR with the open-source Kymatio (Andreux et al., 2020) toolkit for analysis and synthesis of music signals and timbre with differentiable computing. Kymatio is a Python package for applications ...

    • Modulation Extraction for LFO-driven Audio Effects 

      Mitcheltree, C; Steinmetz, CJ; Comunita, M; Reiss, JD; International Conference on Digital Audio Effects (DAFx)
      Low frequency oscillator (LFO) driven audio effects such as phaser, flanger, and chorus, modify an input signal using time-varying filters and delays, resulting in characteristic sweeping or widening effects. It has been ...

    • Modulation Extraction for LFO-driven Audio Effects 

      Mitcheltree, C; Steinmetz, CJ; Comunità, M; Reiss, JD (2023-05-22)

    • Neutone - Real-time AI audio plugin for DAWs 

      Fyfe, A; Mitcheltree, C (2022-11-15)
      When music and audio creators want to experiment with the latest AI technologies such as deep learning, there is currently a steep learning curve for programming in Python with libraries such as PyTorch and using dedicated ...