output
20192026
most citedObjective Measures of Perceptual Audio Quality Reviewed: An Evaluation of Their Application Domain Dependence

73 citations

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9 papers · 1 filter

eess.AS2025

Robust Speech Activity Detection in the Presence of Singing Voice

Philipp Grundhuber, Mhd Modar Halimeh, Martin Strauß +1

Speech Activity Detection (SAD) systems often misclassify singing as speech, leading to degraded performance in applications such as dialogue enhancement and automatic speech recog…

eess.AS20251 cited

Perceptual Audio Coding: A 40-Year Historical Perspective

Jürgen Herre, Schuyler Quackenbush, Minje Kim +1

In the history of audio and acoustic signal processing, perceptual audio coding has certainly excelled as a bright success story by its ubiquitous deployment in virtually all digit…

eess.AS20244 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.AS202215 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.AS20228 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.AS20224 cited

An Analysis Method for Metric-Level Switching in Beat Tracking

Ching-Yu Chiu, Meinard Müller, Matthew E. P. Davies +2

For expressive music, the tempo may change over time, posing challenges to tracking the beats by an automatic model. The model may first tap to the correct tempo, but then may fail…