All Outputs (7)

A stable time domain BEM for diffuser scattering (2007)
Presentation / Conference
Hargreaves, J., & Cox, T. (2007, September). A stable time domain BEM for diffuser scattering. Presented at 19th International Congress on Acoustics, Madrid

Boundary Element Methods (BEMs) may be used to model scattering of sound by surfaces such as diffusers, accelerating prototyping of new Room Acoustics treatments. Unlike the more widely used frequency domain method, the time domain BEM is usually sol... Read More about A stable time domain BEM for diffuser scattering.

Blind estimation of reverberation parameters for non-diffuse rooms (2007)
Journal Article
Kendrick, P., Li, F., Cox, T., Zhang, Y., & Chambers, J. (2007). Blind estimation of reverberation parameters for non-diffuse rooms. Acta acustica united with Acustica, 93(5), 760-770

Reverberation time is an important objective parameter for the acoustics of enclosed spaces. Blind estimation of the reverberation time from naturally occurring sound sources alleviates the logistical constraints of traditional measurement methods, a... Read More about Blind estimation of reverberation parameters for non-diffuse rooms.

The 24-hour city : residents' sensorial experiences (2007)
Journal Article
Adams, M., Moore, G., Cox, T., Croxford, B., Refaee, M., & Sharples, S. (2007). The 24-hour city : residents' sensorial experiences. https://doi.org/10.2752/174589307X203092

The concept of the 24-hour city evokes vibrancy and a dynamic that suggests the harmonious coexistence of mixed land uses which might otherwise be considered improbable neighbors. In reality we see a 24-hour city full of diverse uses, needs and requi... Read More about The 24-hour city : residents' sensorial experiences.

Time domain boundary element method for room acoustics (2007)
Thesis
Hargreaves, J. Time domain boundary element method for room acoustics. (Thesis). University of Salford

This thesis is about improving the suitability of the time domain Boundary Element Method (BEM) for predicting the scattering from surface treatments used to improve the acoustics of rooms. The discretised integral equations are typically solved by m... Read More about Time domain boundary element method for room acoustics.

The effect of visual stimuli on the horribleness of awful sounds. (2007)
Journal Article
Cox, T. (2007). The effect of visual stimuli on the horribleness of awful sounds. Applied Acoustics, 69(8), 691-703. https://doi.org/10.1016/j.apacoust.2007.02.010

A mass web-based experiment has been carried out to explore people’s perception of horrible sounds. The advantage of a web-based methodology is that it enables hundreds of thousands of judgements to be obtained over a diverse population. As part of t... Read More about The effect of visual stimuli on the horribleness of awful sounds..

Passive tuned loudspeakers as absorbers for room acoustics (2007)
Book Chapter
Oldfield, R., & Cox, T. (2007). Passive tuned loudspeakers as absorbers for room acoustics. In A. Calvo-Manzano, A. Pérez-López, & S. Santiago (Eds.), 19th International Congress on Acoustics : acoustics for the 21st century : Madrid, Spain, 2-7 September 2007. Madrid, Spain: Spanish Acoustical Society

This paper presents a novel approach to improving the performance, tunability and efficiency of low frequency membrane absorbers. It is shown that a passive loudspeaker within a cabinet can be used as an efficient and adaptable membrane absorber, wit... Read More about Passive tuned loudspeakers as absorbers for room acoustics.

A neural network model for speech intelligibility quantification (2007)
Journal Article
Li, F., & Cox, T. (2007). A neural network model for speech intelligibility quantification. Applied Soft Computing, 7(1), 145-155. https://doi.org/10.1016/j.asoc.2005.05.002

A neural network based model is developed to quantify speech intelligibility by blind-estimating speech transmission index, an objective rating index for speech intelligibility of transmission channels, from transmitted speech signals without resort... Read More about A neural network model for speech intelligibility quantification.