AI & ML
Point-and-Play: Instrument Timbre Cloning from Music Mixtures
arXiv cs.SD0 views
arXiv:2610.19445v1 Announce Type: new Abstract: Neural instrument synthesizers can clone the timbre of a solo instrument, letting music producers make music with the sound they desire. However, an instrument of interest is often embedded in a fully produced, multi-instrument recording, beyond the reach of existing methods. Source separation before timbre cloning is an approach, but it may suffer from separation artifacts and is also likely a detour for the task. In this work, we propose Point-and-Play, a system that clones the timbre of a cued source directly from a polyphonic mixture and uses it to synthesize new pitches and velocities. To achieve this, we introduce a Cue-Gated Statistics Pooling (CGSP) module that extracts the timbre code of the cued instrument from adapted CLAP embeddings of the music mixture. This extracted timbre code is then used to condition a separately trained note synthesizer together with pitch and velocity inputs. Experiments show that our proposed system outperforms separate-then-clone baselines in terms of timbre fidelity and synthesis quality, achieving comparable performance with that cloned from a clean solo instrument.
Source:https://arxiv.org/abs/2610.19445PreviousFrom Detection To Anticipation: Continuous Onset Forecasting For Stuttered SpeechNextWhat Does LALM Post-training Learn? Rethinking Audio Understanding and Reasoning Capabilities
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