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LiveBand generates real-time music accompaniments with causal transformers

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, meaning it produces music without needing to look ahead into future audio frames. LiveBand utilizes a causal transformer generator trained within the latent space of an audio autoencoder, employing adversarial supervision. The system demonstrates improved performance over existing methods in audio quality, beat alignment, and mix adherence, while operating efficiently on consumer hardware. AI

IMPACT Enables real-time, high-fidelity music generation for live performances and interactive audio applications.

RANK_REASON The cluster contains an academic paper detailing a new AI model and system.

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…