A Model of Loudness Applicable to Time-Varying Sounds
By B. Glasberg, Brian C. J. Moore. 2002
463 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/15fa636e46b12651e87ac3a2ed118565bb59a214
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Citations in the corpus
- Audio Features Underlying Perceived Groove and Sensorimotor Synchronization in Music (2016, methodology): “~ Figure 3 ~ To examine the relationships between RMS energy, groove, and loudness, we computed a measure of loudness using the loudness model of Glasberg and Moore (2002).”
- Subjective and Objective Quality Assessment of Audio Source Separation (2011, unknown): “to fit subjective ratings since auditory phenomena such as loudness perception [22] and spectral masking are not taken into account.”
- Robust Sound Event Classification Using Deep Neural Networks (2015, unknown): “pre-cochlear processing [31] which models many of the physi-”
- PolyRNN: A time-resolved model of polyphonic musical expectations aligned with human brain responses (2025, unknown): “Time-varying loudness and brightness were derived from the instantaneous specific loudness of the input signal (Glasberg & Moore, 2002), as estimated in the Genesis Loudness Toolbox in MATLAB.”