1 citations · 1 across the 6 of their papers we have counts for
6 papers
An Interpretable, Controllable Time-Varying IIR Denoiser for On-Device Assistive Hearing
Riccardo Rota, Kiril Ratmanski, Jozef Coldenhoff +1
We present TVBC (Time-Varying Biquad Cascade), an interpretable, low-latency speech enhancement model for real-time, on-device assistive hearing. A lightweight neural controller pr…
Zimtohrli: An Efficient Psychoacoustic Audio Similarity Metric
Jyrki Alakuijala, Martin Bruse, Sami Boukortt +2
This paper introduces Zimtohrli, a novel, full-reference audio similarity metric designed for efficient and perceptually accurate quality assessment. In an era dominated by computa…
Semi-intrusive audio evaluation: Casting non-intrusive assessment as a multi-modal text prediction task
Jozef Coldenhoff, Milos Cernak
Human perception has the unique ability to focus on specific events in a mixture of signals--a challenging task for existing non-intrusive assessment methods. In this work, we intr…
OpenACE: An Open Benchmark for Evaluating Audio Coding Performance
Jozef Coldenhoff, Niclas Granqvist, Milos Cernak
Audio and speech coding lack unified evaluation and open-source testing. Many candidate systems were evaluated on proprietary, non-reproducible, or small data, and machine learning…
On real-time multi-stage speech enhancement systems
Lingjun Meng, Jozef Coldenhoff, Paul Kendrick +4
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 param…
Multi-Channel MOSRA: Mean Opinion Score and Room Acoustics Estimation Using Simulated Data and a Teacher Model
Jozef Coldenhoff, Andrew Harper, Paul Kendrick +2
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 p…