activity
20222026
most citedCan we still use PEAQ? A Performance Analysis of the ITU Standard for the Objective Assessment of Perceived Audio Quality

15 citations · 27 across the 5 of their papers we have counts for

collaborators

9 papers

eess.AS2026

Ensemble-Based Perceptual Audio Quality Assessment with Confidence Intervals

Pablo M. Delgado, Andreas Brendel, Konstantin Schmidt +1

Objective audio quality metrics typically provide point estimates, whereas listening tests yield score distributions from which mean opinion scores (MOS), confidence intervals (CIs…

eess.AS2026

PADP: Perceptual Audio Data Perturbation for Probing Perception Awareness in Audio Quality Models

Guanxin Jiang, Andreas Brendel, Pablo M. Delgado +1

This paper presents a collection of audio transforms that introduce perceptually irrelevant distortions and demonstrates their use as perceptual stress tests for audio quality mode…

eess.AS2025

DeePAQ: A Perceptual Audio Quality Metric Based On Foundational Models and Weakly Supervised Learning

Guanxin Jiang, Andreas Brendel, Pablo M. Delgado +1

This paper presents the Deep learning-based Perceptual Audio Quality metric (DeePAQ) for evaluating general audio quality. Our approach leverages metric learning together with the…

eess.AS2024★ 4 cited

Towards Improved Objective Perceptual Audio Quality Assessment -- Part 1: A Novel Data-Driven Cognitive Model

Pablo M. Delgado, Jürgen Herre

Efficient audio quality assessment is vital for streamlining audio codec development. Objective assessment tools have been developed over time to algorithmically predict quality ra…

eess.AS2023

An Improved Metric of Informational Masking for Perceptual Audio Quality Measurement

Pablo M. Delgado, Jürgen Herre

Perceptual audio quality measurement systems algorithmically analyze the output of audio processing systems to estimate possible perceived quality degradation using perceptual mode…

eess.AS2022

A Data-driven Cognitive Salience Model for Objective Perceptual Audio Quality Assessment

Pablo M. Delgado, Jürgen Herre

Objective audio quality measurement systems often use perceptual models to predict the subjective quality scores of processed signals, as reported in listening tests. Most systems…

eess.AS2022★ 15 cited

Can we still use PEAQ? A Performance Analysis of the ITU Standard for the Objective Assessment of Perceived Audio Quality

Pablo M. Delgado, Jürgen Herre

The Perceptual Evaluation of Audio Quality (PEAQ) method as described in the International Telecommunication Union (ITU) recommendation ITU-R BS.1387 has been widely used for compu…

eess.AS2022★ 8 cited

Objective Assessment of Spatial Audio Quality using Directional Loudness Maps

Pablo M. Delgado, Jürgen Herre

This work introduces a feature extracted from stereophonic/binaural audio signals aiming to represent a measure of perceived quality degradation in processed spatial auditory scene…

eess.AS2022

Investigations on the Influence of Combined Inter-Aural Cue Distortions on Overall Audio Quality

Pablo M. Delgado, Jürgen Herre

There is a considerable interest in developing algorithms that can predict audio quality of perceptually coded signals to avoid the cost of extensive listening tests during develop…