This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Using SIL/PSIL to estimate Speech Intelligibility in Vehicles
Technical Paper
2005-01-3973
ISSN: 0148-7191, e-ISSN: 2688-3627
Annotation ability available
Sector:
Language:
English
Abstract
The paper looks for the degree of linear correlation of some acoustic parameters concerning Speech Intelligibility in vehicles. The Articulation Index (AI) was originally a criterion to characterize the influence of parasite noise on the Intelligibility of a conversation in the design of speech communication systems. Introduced in the automobile acoustics, it is more and more commonly used by vehicles manufacturers to estimate the middle and high frequency content of spectra noise inside various types of vehicles driven under several running conditions. The correlation with Speech Intelligibility, measured through subjective measurements is well known. Presently we have more sophisticated parameters like STI, RASTI, SII… directed mainly to architectural acoustics and sometimes used in vehicle acoustics. They require specific hardwares and softwares and are more complicated to deal with and often are called machine measures of Speech Intelligibility. On the other side, a simplified way to estimate Speech Intelligibility was proposed by Beranek in the fifties, introducing Speech Interference Level (SIL). Later a new version named Preferred Speech Interference Level (PSIL) was developed. They are calculated using measurements of sound pressure levels in octave bands above 500 Hz. This work, as a pioneer application, uses a set of passenger cars and a set of commercial vehicles to study the correlation of these parameters regarding internal noise. Besides the usual definitions, we propose new approaches for these alternative parameters, SIL and PSIL, introducing some frequency weightings similar to those existing in the calculation of AI in third octave bands. We apply to the experimental data a least-squares curve fitting by straight lines. The results observed through graphics show the degree of linear correlation for the separated sets and also for all the data jointed together. For some parameters we obtain a high degree of linear correlation in such way we expect simplifications and facilities in the estimation of Speech Intelligibility inside vehicles. We use propagation of errors in the mathematical expressions regarding the acoustic parameters to discuss the establishment of a ranking using a specific category of vehicles. We can see that using sound pressure levels in octave bands from 1kHz to 4kHz we are able to have SIL as an alternative picture of Speech Intelligibility, and due to this simplicity we also recommmend them for quality control.
Recommended Content
Authors
Topic
Citation
Onusic, H., Baptista, E., and Hage, M., "Using SIL/PSIL to estimate Speech Intelligibility in Vehicles," SAE Technical Paper 2005-01-3973, 2005, https://doi.org/10.4271/2005-01-3973.Also In
References
- Onusic H. Hage M.M. Parameters used for Acoustic Qualification/quantification of Automotive Vehicles Int. J. Vehicle Design 37 o 1 81 98 2005 England
- Onusic H. Hage M.M. Interior Noise of Automotive Vehicles: A Proposition for Objective Characterization SAE paper 921457 November 1992
- Onusic H. Baptista E.L. Hage M.M. Considerations Regarding the use of Loudness (Mark VI) and Perceived Magnitude (Mark VII) in Vehicle Acoustics Ingénieurs de l'Automobile o 755 September 2002 26 36 France
- Onusic H. Baptista E.L. Hage M.M. Noise Inside Motor Vehicles: Acoustic Parameters Correlation SAE paper 2003-01-3532 November 2003
- Onusic H. et al. Correlation and Evaluation of Passby and Stationary Noises Proceedings 2000 FISITA World Automotive Congress - paper F2000H196 June 2000 Seoul - Korea
- Onusic H. Hage M.M. Baptista E.L. Articulation Index (AI): Concepts and Applications SAE paper 2000-01-3150 October 2000
- Onusic H. Baptista E.L. Hage M.M. Speech Intelligibility in Vehicles; Articulation Index Revisited Proceedings SIBRAV 2005 - Brazilian Symposium of Vehicle Acoustics June 2005
- Beranek L.L. The Design of Speech Communication Systems Proc. I.R.E. 35 880 890 September 1947
- Kryter K.D. Methods for Calculation and Use of the Articulation Index J. Acoust. Soc. Amer. 34 o 11 1689 1697 November 1962
- Van Ligten R.H. Interkeller S.A. Zurich private communication May 1982
- Onusic H. et al. Novembro 1984 100 106
- Julho 1993
- NEMA Setting Standards for Excellence, Speech Intelligibility 2002
- Handbook of Noise Assessment May D.N. Van Nostrand Reinhold 1978
- Noise Reduction Beranek L.L. McGraw Hill 1960
- Acoustics and Psychoacoustics Howard D.M. Angus J. Focal Press 2001
- Data Reduction and Error Analysis for the Physical Sciences Bevington P.;R. McGraw Hill 1969
- Onusic H. Mandic D. Propagation of Errors in Chromaticity Coefficients (x,y) obtained from Spectroradiometric Curves: Tristimulus Covariances Included Int. J. Veh. Design 10 o 1 88 98 1989 England
- Lower M. Communications and Speech Intelligibility - ISVR Consulting University of Southampton UK 2004
- Marah A. Speech Intelligibillity The Fridge The University fo Western Australia 1999
- Van Ligten R.H. An Attempt at Comprehensive Presentation of Automobile Acoustic Questions Unikeller Conference 1977 02 20 Switzerland
- Onusic H. Baptista E.L. Hage M.M. Neither dB(A) nor Loudness: Beyond them? SAE paper 2001-01-3971 November 2001
- Baronese J. Gibian L.G. Experimental Determination of the Smallest Perceivable Changes in Octave Bands of Automobile Interior Noise SAE paper 850980
- Acoustic Noise Measurements Hassal J.R. Zaneri K. Bruel & Kjaer publication 1980