Vocal Intensity Conversion with Continuous SPL Control via Adversarial Training

Quentin Le Tellier; Albert Rilliard; Olivier Perrotin; Marc Evrard

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arXiv · 2610.13608

Vocal Intensity Conversion with Continuous SPL Control via Adversarial Training

Quentin Le Tellier·Albert Rilliard·Olivier Perrotin·Marc Evrard

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Abstract

Vocal intensity conversion renders a recorded utterance at a different vocal intensity, rather than simply scaling its amplitude, while preserving its content and speaker identity. Existing systems control intensity through a reference utterance or a few discrete categories. Instead, we control the conversion with any target sound pressure level (SPL) on a continuous dB scale. A lightweight converter, trained as a conditional cycle-consistent GAN without parallel data, transforms the features of a frozen speech encoder, from which a pretrained vocoder resynthesizes the speech. We compare three representations, log-mel spectrograms, WavLM, and SpeechTokenizer, and introduce an objective protocol that measures the achieved intensity change against the target one on a calibrated corpus. With WavLM, the converter achieves a measured 83% of the target change in intensity and also shifts the fundamental frequency. A perceptual evaluation confirms that perceived vocal intensity increases with the target level on amplitude-normalized stimuli.

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Quentin Le Tellier, Albert Rilliard, Olivier Perrotin, Marc Evrard. 2026-10-09. Vocal Intensity Conversion with Continuous SPL Control via Adversarial Training. https://arxiv.org/abs/2610.13608

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