30 citations · 149 across the 35 of their papers we have counts for
11 papers · 1 filter
Interpreting Graphic Notation with MusicLDM: An AI Improvisation of Cornelius Cardew's Treatise
Tornike Karchkhadze, Keren Shao, Shlomo Dubnov
This work presents a novel method for composing and improvising music inspired by Cornelius Cardew's Treatise, using AI to bridge graphic notation and musical expression. By levera…
Improving Music Source Separation with Diffusion and Consistency Refinement
Tornike Karchkhadze, Mohammad Rasool Izadi, Shuo Zhang +1
In this work, we propose an approach to music source separation that uses a generative diffusion model as a last-stage refinement on top of a deterministic separator, progressively…
Creativity and Visual Communication from Machine to Musician: Sharing a Score through a Robotic Camera
Ross Greer, Laura Fleig, Shlomo Dubnov
This paper explores the integration of visual communication and musical interaction by implementing a robotic camera within a "Guided Harmony" musical game. We aim to examine co-cr…
Multi-Track MusicLDM: Towards Versatile Music Generation with Latent Diffusion Model
Tornike Karchkhadze, Mohammad Rasool Izadi, Ke Chen +2
Diffusion models have shown promising results in cross-modal generation tasks involving audio and music, such as text-to-sound and text-to-music generation. These text-controlled m…
Generating Symbolic Music from Natural Language Prompts using an LLM-Enhanced Dataset
Weihan Xu, Julian McAuley, Taylor Berg-Kirkpatrick +2
Recent years have seen many audio-domain text-to-music generation models that rely on large amounts of text-audio pairs for training. However, symbolic-domain controllable music ge…
Simultaneous Music Separation and Generation Using Multi-Track Latent Diffusion Models
Tornike Karchkhadze, Mohammad Rasool Izadi, Shlomo Dubnov
Diffusion models have recently shown strong potential in both music generation and music source separation tasks. Although in early stages, a trend is emerging towards integrating…
Improving Generalization of Speech Separation in Real-World Scenarios: Strategies in Simulation, Optimization, and Evaluation
Ke Chen, Jiaqi Su, Taylor Berg-Kirkpatrick +2
Achieving robust speech separation for overlapping speakers in various acoustic environments with noise and reverberation remains an open challenge. Although existing datasets are…
Music Enhancement with Deep Filters: A Technical Report for The ICASSP 2024 Cadenza Challenge
Keren Shao, Ke Chen, Shlomo Dubnov
In this challenge, we disentangle the deep filters from the original DeepfilterNet and incorporate them into our Spec-UNet-based network to further improve a hybrid Demucs (hdemucs…
Evaluating Co-Creativity using Total Information Flow
Vignesh Gokul, Chris Francis, Shlomo Dubnov
Co-creativity in music refers to two or more musicians or musical agents interacting with one another by composing or improvising music. However, this is a very subjective process…
Binaural sound source localization using a hybrid time and frequency domain model
Gil Geva, Olivier Warusfel, Shlomo Dubnov +3
This paper introduces a new approach to sound source localization using head-related transfer function (HRTF) characteristics, which enable precise full-sphere localization from ra…
PosCUDA: Position based Convolution for Unlearnable Audio Datasets
Vignesh Gokul, Shlomo Dubnov
Deep learning models require large amounts of clean data to acheive good performance. To avoid the cost of expensive data acquisition, researchers use the abundant data available o…