Hierarchical Timbre-Painting and Articulation Generation

• URL: http://arxiv.org/abs/2008.13095v2
• Date: Mon, 7 Sep 2020 14:49:37 GMT
• Title: Hierarchical Timbre-Painting and Articulation Generation
• Authors: Michael Michelashvili and Lior Wolf
• Abstract summary: We present a fast and high-fidelity method for music generation, based on specified f0 and loudness. The synthesized audio mimics the timbre and articulation of a target instrument.
• Score: 92.59388372914265
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: We present a fast and high-fidelity method for music generation, based on specified f0 and loudness, such that the synthesized audio mimics the timbre and articulation of a target instrument. The generation process consists of learned source-filtering networks, which reconstruct the signal at increasing resolutions. The model optimizes a multi-resolution spectral loss as the reconstruction loss, an adversarial loss to make the audio sound more realistic, and a perceptual f0 loss to align the output to the desired input pitch contour. The proposed architecture enables high-quality fitting of an instrument, given a sample that can be as short as a few minutes, and the method demonstrates state-of-the-art timbre transfer capabilities. Code and audio samples are shared at https://github.com/mosheman5/timbre_painting.

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