Randomness and the reverberation time, RT&lt;inf&gt;60&lt;/inf&gt;, of acoustic responses

Kelly, Ian J.; Boland, Frank

doi:10.1109/icassp.2014.6855204

Cited by 2 publications

(3 citation statements)

References 14 publications

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“…The authors have shown that by including a term to account for decay, the zeros of acoustic polynomials can be shown to exhibit similar behaviour, clustering about a ring inside the unit circle [8]. This can clearly be seen when one models the decay of a sequence p[n] as being due to a point-wise multiplication with a decaying exponential.…”

Section: C) the Diffuse Tailmentioning

confidence: 92%

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Phase and Randomness in Acoustic Responses

Kelly

Boland

O'Toole

et al. 2014

25th IET Irish Signals &Amp; Systems Conference 2014 and 2014 China-Ireland International Conference on Information and Communi

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In this paper acoustic responses are examined with respect to the locations of their zeros or roots. This information is then used to inform an analysis of the pitfalls of the most common method of minimum phase approximation and the use of minimum phase versions of acoustic impulse responses. Acoustic polynomials can be shown to inherently have zeros on or very near the unit circle which can cause large errors in the minimum phase calculation.

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Section: C) the Diffuse Tailmentioning

confidence: 92%

“…Thus the roots remain just as closely clustered, but about a ring just within the unit circle and not the unit circle itself. The authors have shown that this effect can be used to accurately estimate the reverberation time (RT 60 ) of a RIR [8].…”

Section: C) the Diffuse Tailmentioning

confidence: 98%

Phase and Randomness in Acoustic Responses

Kelly

Boland

O'Toole

et al. 2014

25th IET Irish Signals &Amp; Systems Conference 2014 and 2014 China-Ireland International Conference on Information and Communi

View full text Add to dashboard Cite

show abstract

“…60 With, V = room volume S = surface area α = material absorption coefficient Considering the simplicity of the Sabine formulae on top of ignoring many other factors, a jarring error can be seen between the formulaic and the actual measurement RT value. Since then, many other researchers have made improvements and materialized with more solid and accurate formulae calculations in regard of RT [2][3][4][5][6]. Besides this fundamental calculations, other techniques and methods were also being presented such as the computer simulations ray-tracing techniques (ODEON) [7] and finite element models (FEM) [8][9].…”

Section: Introductionmentioning

confidence: 99%

Feed forward neural network application for classroom reverberation time estimation

Zainudin

Saon

Mahamad

et al. 2019

IJEECS

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Acoustic problem is a main issues of the existing classroom due to lack of absorption of surface material. Thus, a feed forward neural network system (FFNN) for classroom Reverberation Time (RT) estimation computation was built. This system was developed to assist the acoustic engineer and consultant to treat and reduce this matter. Data was collected and computed using ODEON12.10 ray tracing method, resulting in a total of 600 rectangular shaped classroom models that were modeled with various length, width, height, as well as different surface material types. The system is able to estimate RT for 500Hz, 1000Hz, and 2000Hz. Using the collected data, FFNN for each frequency were trained and simulated separately (as absorption coefficients are frequency dependent) in order to find the optimum solution. The final system was validated and compared with the actual measurement value from 15 different classrooms in Universiti Tun Hussein Onn Malaysia (UTHM). The developed system show positive results with average validation accuracy of 94.35%, 95.91%, and 96.42% for 500Hz, 1000Hz, and 2000Hz respectively.

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Randomness and the reverberation time, RT<inf>60</inf>, of acoustic responses

Cited by 2 publications

References 14 publications

Phase and Randomness in Acoustic Responses

Phase and Randomness in Acoustic Responses

Feed forward neural network application for classroom reverberation time estimation

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