Paul Kendrick — accepted AI-conference papers

2024

Multi-Channel Mosra: Mean Opinion Score and Room Acoustics Estimation Using Simulated Data and A Teacher Model

Jozef Coldenhoff, Andrew Harper, Paul Kendrick, Tijana Stojkovic, Milos Cernak

ICASSP 2024accepted

Previous methods for predicting room acoustic parameters and speech quality metrics have focused on the single-channel case, where room acoustics and Mean Opinion Score (MOS) are predicted for a single recording device. However, quality-based device selection for rooms with multiple recording device…

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2024

On Real-Time Multi-Stage Speech Enhancement Systems

Lingjun Meng, Jozef Coldenhoff, Paul Kendrick, Tijana Stojkovic, Andrew Harper, Kiril Ratmanski +1

ICASSP 2024accepted

Recently, multi-stage systems have stood out among deep learning-based speech enhancement methods. However, these systems are always high in complexity, requiring millions of parameters and powerful computational resources, which limits their application for real-time processing in low-power devices…

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