arXiv Machine Learning July 3, 2026 By Yang Xiang, Philipp G\"otz, Emanu\"el A. P. Habets, Andreas Walther, Wenwu Wang, Philip J. B. Jackson

Quantifying the Uncertainty of Blindly Estimated Room Embeddings Using a Dispersion-Calibrated Score

Read the original on arXiv Machine Learning →

arXiv:2607. 01527v1 Announce Type: cross Abstract: Room embeddings derived from reverberant speech are often unreliable: speech content and recording degradation can alter the representation even when speaker, room, and source-receiver geometry remain unchanged, degrading downstream task performance.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

arXiv AI

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Probing Low-Level Acoustic Attribute Encoding in CLAP Audio Embeddings

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arXiv Machine Learning

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

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Cross-Subject Semantic Decoding with Shared-Space Alignment for Generalized Neural Representation Learning

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arXiv AI

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CuteTTS: Efficient and High-Quality Speech Synthesis via Autoregressive Modeling of Continuous Latents

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arXiv AI

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ReGen: Hierarchical Multi-Prompt Representation Generation for Efficient Waveform Diffusion Models

arXiv:2607. 09134v1 Announce Type: cross Abstract: Representation alignment (REPA) has been investigated to accelerate diffusion training, but we observe that regularizing intermediate representations in diffusion Transformers (DiT) may implicitly entangle latents and limit generative capacity.

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arXiv Machine Learning

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Semi-Supervised Speech Confidence Detection using Pseudo-Labelling and Whisper Embeddings

arXiv:2606. 16505v1 Announce Type: cross Abstract: Understanding speaker confidence is crucial in educational settings, as it can enhance personalised feedback and improve learning outcomes.

By Adam Wynn, Jingyun Wang, Xiangyu Tan

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Related stories

Probing Low-Level Acoustic Attribute Encoding in CLAP Audio Embeddings

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

Cross-Subject Semantic Decoding with Shared-Space Alignment for Generalized Neural Representation Learning

CuteTTS: Efficient and High-Quality Speech Synthesis via Autoregressive Modeling of Continuous Latents

ReGen: Hierarchical Multi-Prompt Representation Generation for Efficient Waveform Diffusion Models

Semi-Supervised Speech Confidence Detection using Pseudo-Labelling and Whisper Embeddings