Corpus ID: 39402973

Loudness , Its Definition , Measurement and Calculation

  title={Loudness , Its Definition , Measurement and Calculation},
  author={W. A. Mvnso and Bell Laboratories},
OUDNESS is a psychological term Used to describe the magnitude of an auditory sensation. Although we use the terms "very loud," "loud," "moderately loud," "soft" and "very soft," corresponding to the musical notations if, f, m f, p, and pp, to define the magnitude, it is evident that these terms are not at all precise and depend upon the experience, the auditory acuity, and the customs of the persons using them. If loudness depended only upon the intensity of the sound wave producing the… Expand
INTRODUCTION The association between acoustic signals and their perception is a fundamental issue in auditory psychophysics. In psychological terms, the subjective percept of loudness is closelyExpand
Estimates of Cochlear Compression from Measurements of Loudness Growth
The growth of loudness can be measured by matching the loudness of a pure tone to that of a multi-tone complex. This method was originally used by Fletcher and Munson (1933) and has been used moreExpand
Chapter 2 Measurement of Loudness , Part I : Methods , Problems , and Pitfalls
It is a matter of everyday experience that sounds vary in their perceived strength, from the barely perceptible whisper coming from across the room to the overwhelming roar of a jet engine comingExpand
Neural Coding of Sound Intensity and Loudness in the Human Auditory System
The fMRI correlate of neural activity in the auditory cortex as measured by the blood oxygen level-dependent effect appears to be more a linear reflection of subjective loudness sensation rather than a display of physical sound pressure level, as measured using a sound-level meter. Expand
Global loudness processing of time-varying sounds
Key temporal mechanisms in global loudness processing that might be shared with other sensory attributes are brought to light, including coding and the processing of time-varying stimuli by sensory systems from identified perceptual asymmetries. Expand
Development and Current Status of the “Cambridge” Loudness Models
  • B. Moore
  • Mathematics, Medicine
  • Trends in hearing
  • 2014
This article reviews the evolution of a series of models of loudness developed in Cambridge, UK, and versions of the model for predicting loudness for hearing-impaired ears have been developed and have been applied to the development of methods for fitting multichannel compression hearing aids. Expand
Predicting the loudness discomfort level from the acoustic reflex threshold and growth function
Title of Document: PREDICTING THE LOUDNESS DISCOMFORT LEVEL FROM THE ACOUSTIC REFLEX THRESHOLD AND GROWTH FUNCTION Justine Marie Cannavo, Au.D., 2008 Directed By: Dr. Sandra Gordon-Salant, HearingExpand
Time course of loudness recalibration: implications for loudness enhancement.
  • Y. Arieh, L. Marks
  • Mathematics, Medicine
  • The Journal of the Acoustical Society of America
  • 2003
The results of a loudness enhancement paradigm was successfully predicted from the time course of recalibration obtained in experiment 1 and the suggestion made by Scharf, Buus, and Nieder that early measurements of enhancement were contaminated by the influence of the recalibrating tone on the comparison tone when the two shared the same frequency was compatible. Expand
A Loudness Model for Time-Varying Sounds Incorporating Binaural Inhibition
A model of loudness for time-varying sounds that incorporates the concept of binaural inhibition, namely, that the signal applied to one ear can reduce the internal response to a signal at the other ear is described. Expand
Subjective loudness level measurements and equal loudness contours in a bottlenose dolphin (Tursiops truncatus).
A bottlenose dolphin was trained to perform a loudness comparison test, where the listener indicates which of two sequential tones is louder, and the loudness relationships were used to construct equal loudness contours and auditory weighting functions that can be used to predict the frequency-dependent effects of noise on odontocetes. Expand