SpeechDx is a multi-task benchmark with 12 datasets and 27 tasks across health conditions, structured by conceptualization, formulation, and articulation stages, showing that no current audio encoder generalizes reliably.
Wavjepa: Semantic learning unlocks robust audio foundation models for raw waveforms.arXiv preprint arXiv:2509.23238, 2025
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Introduces SARL benchmark showing pretrained audio encoders encode source-level spatial factors more readily than room-level factors, with patterns shaped by input configuration and training paradigm.
OLIVE is a new self-supervised speech representation framework that unifies view-augmented masked latent prediction with waveform reconstruction under one objective.
citing papers explorer
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SpeechDx: A Multi-Task Benchmark for Clinical Speech AI
SpeechDx is a multi-task benchmark with 12 datasets and 27 tasks across health conditions, structured by conceptualization, formulation, and articulation stages, showing that no current audio encoder generalizes reliably.
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Probing Spatial Structure in Pretrained Audio Representations
Introduces SARL benchmark showing pretrained audio encoders encode source-level spatial factors more readily than room-level factors, with patterns shaped by input configuration and training paradigm.
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OLIVE: View-Augmented Latent Prediction with Waveform Reconstruction for Speech SSL
OLIVE is a new self-supervised speech representation framework that unifies view-augmented masked latent prediction with waveform reconstruction under one objective.