Author

Kohei Saijo

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#machine learning Preprint Sep 2026

Transcript-Supervised Post-Training of Generative Speech Enhancement on Real Recordings via Reinforce Adjoint Matching

We adapt Reinforce Adjoint Matching (RAM), a reward-based post-training method, to generative speech enhancement (SE). Starting from a pretrained SE model, RAM tilts the model's conditional distribution toward outputs with higher reward. During training, the current model generates enhanced speech on-policy, evaluates...

Julius Richter, Christoph Boeddeker, Yoshiki Masuyama et al. · 0 citations

Preprint Aug 2026

Anomalous Sound Detection Meets Noise-Aware Self-Supervised Learning

Noise-aware self-supervised learning (NA-SSL) models for noise-aware anomalous sound detection (NA-ASD) are introduced and the effectiveness of the proposed approach is demonstrated across three base SSL models (BEATs, EAT, and Dasheng), both with and without discriminative fine-tuning.

Takuya Fujimura, G. Wichern, Yoshiki Masuyama et al. · 0 citations

Preprint Jul 2026

Technical Report for MERL's Real-TSE Challenge Submission

MERL's submission to the Real-TSE Challenge achieved first place in the second track, demonstrating the critical importance of high-quality data preparation and observing that DNSMOS and speaker similarity are susceptible to over-optimization.

Dominik Klement, Yoshiki Masuyama, Christoph Boeddeker et al. · 1 citation