Julius Richter

Few-Shot Room Impulse Response Interpolation in Latent Domains

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...

Anomalous Sound Detection Meets Noise-Aware Self-Supervised Learning

In this paper, we introduce noise-aware self-supervised learning (NA-SSL) models for noise-aware anomalous sound detection (NA-ASD). NA-ASD is an ASD task with two-channel audio recordings, where one microphone is located close to the target machine and the other is located farther away to capture noise. For this task,...

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.