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arXiv · 2606.30356

OLIVE: View-Augmented Latent Prediction with Waveform Reconstruction for Speech SSL

Karl El Hajal·Mathew Magimai. -Doss
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Abstract

We propose Online Latent prediction with Invariant Views and rEconstruction (OLIVE), a self-supervised speech representation learning framework that jointly optimizes analysis and synthesis objectives. OLIVE combines view-augmented masked latent prediction with waveform reconstruction under a unified objective. Reconstruction constrains early encoder features to retain signal-level information, while masked latent prediction shapes later contextual representations toward invariance for robust downstream performance. We show that these objectives enable representations that support a broad range of tasks. In particular, OLIVE improves results on generation and speaker tasks, maintains competitive performance on recognition and semantic tasks, and improves waveform reconstruction.

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Karl El Hajal, Mathew Magimai. -Doss. 2026-06-29. OLIVE: View-Augmented Latent Prediction with Waveform Reconstruction for Speech SSL. https://arxiv.org/abs/2606.30356

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