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LiveBand system generates real-time music accompaniments

Researchers have developed LiveBand, a novel system capable of generating high-fidelity music accompaniments in real-time to live audio input. This system adheres to strict causal constraints by training a causal transformer generator within the latent space of a pre-trained audio autoencoder. LiveBand demonstrates improved performance over existing methods on objective measures of audio quality, beat alignment, and mix adherence, while also enabling real-time streaming generation on consumer hardware. AI

IMPACT Enables real-time, high-fidelity music accompaniment generation, potentially impacting music production and live performance tools.

RANK_REASON The cluster contains a research paper detailing a new system for audio generation. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Marco Pasini, Javier Nistal, Mathias Rose Bjare, Stefan Lattner, George Fazekas ·

    LiveBand: Live Accompaniment Generation in the Audio Domain

    arXiv:2606.03803v1 Announce Type: cross Abstract: We present LiveBand, a real-time system that generates high-fidelity music accompaniments to live audio input, respecting strict causal constraints. Our method trains a causal transformer generator in the continuous latent space o…

  2. arXiv cs.AI TIER_1 English(EN) · George Fazekas ·

    LiveBand: Live Accompaniment Generation in the Audio Domain

    We present LiveBand, a real-time system that generates high-fidelity music accompaniments to live audio input, respecting strict causal constraints. Our method trains a causal transformer generator in the continuous latent space of a pre-trained causal audio autoencoder, using ad…