Influence of Filter Characteristics on the Bias of Reverberation Time Estimation
Keywords:
reverberation time estimation, bias analysis, room impulse response, amplitude-frequency response, filter bandwidthAbstract
Bandpass filters with a rectangular amplitude-frequency response (AFR) are relatively easy to implement in the frequency domain by zeroing out spectral components outside the desired passband. An advantage of this approach is the ease of constructing high-order non-recursive filters with a linear phase response. However, as demonstrated in this paper, this benefit comes at the cost of significant bias in reverberation time (RT) estimates, particularly in cases of narrow bandwidth and short reverberation time. It can be assumed that this drawback may be largely eliminated by using filters with a non-rectangular AFR, which is simple to implement in practice. However, the validity of this assumption remained untested until recently. In this paper, the influence of the filter’s AFR shape and bandwidth on the bias in RT estimation is analyzed. It is shown that the bias of RT estimates based on T20 and T30 ranges from 60% to 100% when one-third-octave filters with a rectangular AFR are used in the frequency range of 25–200 Hz. When a Tukey window is used as the filter AFR, the bias can be reduced to 4%. Similar results were obtained for Early Decay Time and T10 estimates of RT.
References
ISO 3382-1:2009 Acoustics – Measurement of room acoustic parameters – Part 1: Performance spaces, Geneva: International Organization for Standardization, 2009.
ISO 3382-2:2008 Acoustics – Measurement of room acoustic parameters - Part 2: Reverberation time in ordinary rooms, Geneva: International Organization for Standardization, 2008.
IEC 61260-1-2014 Electroacoustics - Octave-band and fractional-octaveband filters, European Committee for Electrotechnical Standardization, 2014.
ANSI/ASA S12.60-2010/Part 1 American National Standard Acoustical Performance Criteria, Design Requirements, and Guidelines for Schools, Part 1: Permanent Schools.
Acoustic design of schools: performance standards. Building bulletin 93. UK Department for Education, 2015. [Online]. Available at: https://assets.publishing.service.gov.uk/media/5a8170d3e5274a2e8ab54012/BB93_February_2015.pdf.
A. Astolfi, L. Parati, D. D’Orazio, M. Garai, “The new Italian standard UNI 11532 on acoustics for schools,” Proceedings of the 23rd International Conference on Acoustics Integrating 4th EAA Euroregio 2019, Aachen, Germany, 9-13 September 2019, 6969-6976. https://dx.doi.org/10.18154/RWTH-CONV-239323.
H. Fuchs, “DIN 18041:2016 – A norm in room acoustic offside?,” Lärmbekämpfung, vol. 14, issue 4, pp. 123-132, January 2019. https://doi.org/10.37544/1863-4672-2019-04-25.
J. Bradley, H. Sato, M. Picard, “On the importance of early reflections for speech in rooms.” J. Acoust. Soc. Am., vol. 113, issue 6, pp. 3233–3244, 2003. https://doi.org/10.1121/1.1570439.
J. Bradley, H. Sato, “Speech intelligibility test results for grades 1, 3 and 6 children in real classrooms,” Proceedings of the 18th International Congress on Acoustics, Kyoto, 2004. [Online]. Available at: https://nrc-publications.canada.ca/eng/view/accepted/?id=b2671dea-f873-491f-8bb6-35f0ecf2b891.
J. Davy, “The variance of decay rates in reverberation rooms,” Acustica, vol. 43, no.1, pp. 51-56, 1979.
J. Davy, “The variance of impulse decays,” Acustica, vol. 44, no. 1, pp. 51-56, 1980. https://doi.org/10.1109/ACOUSTICS.2018.8502277.
M. Schroeder, “New method of measuring reverberation time,” J. Acoust. Soc. Amer., vol. 37, pp. 409-412, 1965. https://doi.org/10.1121/1.1909343.
R. Kurer, U. Kurze, “Integrationsverfahren zur Nachhallauswertung,” (“Integration method for the evaluation of reverberation measurement,”), Acustica, vol. 19, pp. 313-322, 1967/68.
K. Bordlund, “On the use of the integrated impulse response method for laboratory reverberation measurements,” Journal of Sound and Vibration, vol. 56, issue 3, pp. 341-362, 1978. https://doi.org/10.1016/S0022-460X(78)80152-7.
W. Chu, “Comparison of reverberationmeasurements using Schroeder's impulse method and decay-curve averaging method,” J. Acoust. Soc. Am., vol. 63, pp. 1444-1450, 1978. https://doi.org/10.1121/1.381889.
M. Vorlander, H. Bietz, “Comparison of methods for measuring reverberation time,” Acustica, vol. 80, pp. 205-215, 1994.
D. Mateus, A. Pereira, “Proposal of a simplified methodology for reverberation time prediction in standard medium size rooms with non-uniformly distributed sound absorption,” Acta Acustica, vol. 7, 31, 2023. https://doi.org/10.1051/aacus/2023025.
S. Shetu, “Blind estimation of the subband reverberation time,” Online Technical Report, 2020. [Online]. Available at: https://github.com/Shetu1994/Reverberation-Time-Estimation/blob/master/Internship_report.pdf.
H. Löllmann, A. Brendel, W. Kellermann, and P. Vary, “Single-channel maximum-likelihood T60 estimation exploiting subband information,” Proceedings of the ACE Challenge Workshop, October 2015, pp. 1–5. https://doi.org/10.48550/arXiv.1511.04063.
S. Li, R. Schlieper, and J. Peissig, “A hybrid method for blind estimation of frequency dependent reverberation time using speech signals,” Proceedings of the 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2019, pp. 1–5. https://doi.org/10.1109/ICASSP.2019.8682661.
H. Steeneken and T. Houtgast, “Basics of the STI measuring method,” in Past, present and future of the Speech Transmission Index. Soesterberg: TNO Human Factors, 2002.
P. Bloomfield, Fourier Analysis of Time Series: An Introduction, New York: Wiley-Interscience, 2000. https://doi.org/10.1002/0471722235.
A. Prodeus, A. Naida, “A two-stage algorithm for determining the truncation time and reverberation time,” Proceedings of the 2024 IEEE 7th International Conference Actual Problems of Unmanned Aerial Vehicles Developments (APUAVD), October 22-24, 2024, Kyiv, Ukraine. https://doi.org/10.1109/APUAVD64488.2024.10765903.
A. Prodeus, A. Naida, “Reverberation time estimation algorithm accuracy,” Electronics and Control Systems, no. 1 (83), pp. 9-17, 2025. https://doi.org/10.18372/1990-5548.83.19859.
H. Löllmann, “Estimation of the reverberation time in noisy environments,” Proceedings of the International Workshop on Acoustic Echo and Noise Control (IWAENC). Seattle, US, 2008. [Online]. Available at: https://www.iwaenc.org/proceedings/2008/contents/papers/9033.pdf.
Downloads
Published
How to Cite
Issue
Section
License
International Journal of Computing is an open access journal. Authors who publish with this journal agree to the following terms:• Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
• Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
• Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.