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PitchFlower: A flow-based neural audio codec with pitch controllability

arxiv.org/abs/2510.25566

quality89

Updated 2 h ago · first seen 11 Sept 2026

paper_01M294FSXGY0HRETHSA8K8RXCP

Published
11 Sept 2026
T1 · 2 h ago
arXiv
2510.25566
T1 · 2 h ago
Category
eess.AS
T1 · 2 h ago

Abstract

-cross Abstract: We present PitchFlower, a flow-based neural audio codec with explicit pitch controllability. Our approach promotes pitch disentanglement through a simple perturbation: during training, F0 contours are flattened and randomly shifted at the input, while the true F0 is provided as conditioning to regenerate the original audio. A vector-quantization bottleneck prevents pitch recovery, and a flow-based decoder generates high quality audio. Experiments show that PitchFlower achieves accurate pitch control at the level of DSP baselines but at much higher audio quality, and performs on par with state-of-the-art neural approaches. Notably, despite using WORLD-transformed audio for training, our method filters out the vocoder's inherent artifacts, revealing a strong resilience of deep generative modeling to input degradation. This finding suggests that our framework provides a simple and extensible path that could be extended to other speech attributes.

Authors 3

Diego Torres, Axel Roebel, Nicolas Obin

Specification

Official page

Source:arXiv (Atom API + RSS)T1observed 2 h agohigh

Arxiv announce type
replace

Source:arXiv (Atom API + RSS)T1observed 2 h agohigh

arXiv id
2510.25566

Source:arXiv (Atom API + RSS)T1observed 2 h agohigh

Categories
eess.AS, cs.LG

Source:arXiv (Atom API + RSS)T1observed 2 h agohigh

PDF

Source:arXiv (Atom API + RSS)T1observed 2 h agohigh

Primary category
eess.AS

Source:arXiv (Atom API + RSS)T1observed 2 h agohigh

Published
11 Sept 2026

Source:arXiv (Atom API + RSS)T1observed 2 h agohigh

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Provenance

Attributed facts

9

Source tiers

T19

Freshest observation

2 h ago

Conflicts

None