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AdaTT: Text-Guided Instrument Timbre Transfer with Target-Adaptive Structural Control

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This paper addresses timbral ambiguity in instrument timbre transfer under fine-grained structural conditions. We argue this issue stems from instrument-specific expressive details in these conditions, which conflict with the target timbral properties. For example, imposing a violin's pitch-dominant vibrato contours onto a flute, which naturally exhibits loudness-dominant vibrato, impairs timbral fidelity. We propose AdaTT, a target-adaptive system that ensures high timbral fidelity across diverse timbre transfer scenarios within the ControlNet scheme. It selectively scales the frame-wise influence of pitch and loudness controls via text prompts to match the target instrument's identity. We also present a semi-automatic data construction pipeline to teach the model which expressive details to transform or preserve. Results show AdaTT achieves superior timbral fidelity and naturalness while retaining score-level content. Audio samples are available at https://dabinkim0.github.io/adatt/.

Dabin Kim, Junwon Lee, Juhan Nam• 2026

Related benchmarks

TaskDatasetResultRank
Timbre TransferInstrument reconstruction set
CLAP Score0.49
5
Timbre TransferTimbre Transfer (Evaluation Set)
CLAP Score0.49
4
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