Influence of sound source characteristics in determining objective speech intelligibility metrics

Zhu, Peisheng; Mo, Fangshuo; Kang, Jian

doi:10.1016/j.apacoust.2014.09.023

Cited by 12 publications

(14 citation statements)

References 5 publications

(6 reference statements)

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“…This result agrees with the literature: some authors used both omnidirectional and directional sound sources finding significantly small differences. [16][17][18] As will be discussed in the following section, HVAC noise may influence measurement results [6][7][8] even if the STI calculation does not take into account the noise correction. The offset q values decrease depending on the robustness against noises of the measurement techniques.…”

Section: Resultsmentioning

confidence: 99%

“…The calculated linear regression line and the crossing of the STI values 0.50 and 0.20 are used to define, respectively, the distraction distance ( ) r D and the privacy distance ( ) r p , according to ISO 3382-3:2012. 5 Noise influences STI measurement: [6][7][8] ISO 3382-3:2012 refers to IEC 60268- 16:2011 for which concerns the STI measurement techniques, including considerations on noise. 9 Section 4.5.7 of IEC 60268-16:2011 states that it "is essential that STI predictions and measurements should always incorporate a level of background noise that is realistic for the application."…”

Section: Introductionmentioning

confidence: 99%

“…Noise influences S T I measurement: 6–8 ISO 3382-3:2012 refers to IEC 60268-16:2011 for which concerns the S T I measurement techniques, including considerations on noise. 9 Section 4.5.7 of IEC 60268-16:2011 states that it “is essential that S T I predictions and measurements should always incorporate a level of background noise that is realistic for the application.” ISO 3382-3:2012 prescribes to measure S T I with Heating, Ventilation and Air Conditioning (HVAC) noise, suggesting that the sound power level of the loudspeaker should be high enough to exceed the background noise level by 6 dB at the most distant receiver position.…”

Section: Introductionmentioning

confidence: 99%

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Comparison of different in situ measurements techniques of intelligibility in an open-plan office

2018

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Acoustic comfort in open-plan offices is a relatively recent research topic and some practices have not yet been consolidated. The goal in these spaces is to achieve good speech privacy at every workstation, reaching a high value of spatial decay of the sound pressure level. In case of refurbishment, a proper measurement of intelligibility criteria is needed, for example, in order to properly calibrate a numerical model or to plan acoustic treatments. This work compares different measurement techniques to evaluate the spatial distribution of intelligibility criteria. In situ measurements were done in an open-plan office used as a case study. Both omnidirectional and directional sound sources with different sound power levels were used, according, respectively, to ISO 3382-3:2012 and ITU-T P.51:1996. Furthermore, compensation algorithms were used in impulse response measurements in presence of Heating, Ventilation and Air Conditioning noise. The study shows, in a preliminary way, how different techniques and equipment can influence intelligibility criteria used in the open-plan office characterization. Results show that the indirect method of measuring Speech Transmission Index could not be used when the background level is high as the case study while the direct method returns good results.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Comparison of different in situ measurements techniques of intelligibility in an open-plan office

2018

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“…A dodecahedral sound source was not used as an interference noise source in this experiment because, for the dodecahedral sound source, there was no main radiation and the directivity changed with orientations, the equalisation and calibration was difficult [9], and room acoustics software could hardly simulate a real dodecahedral sound source. Accordingly, these factors may exert significant influence on the comparison results.…”

Section: Experimental Arrangementmentioning

confidence: 99%

“…The signal source and the noise source, preset in an anechoic chamber, were placed in the corresponding sound source positions in the test rooms and at each receiver position, the STI, IR and BRIR as well as the operational speech level and background noise levels were each measured in turn. Both of the sound source systems were equalised using their inverse filter systems calculated from the impulse responses measured on the front axis of the sources in an anechoic chamber [9]. Fig.…”

Section: Experimental Arrangementmentioning

confidence: 99%

Comparisons between simulated and in-situ measured speech intelligibility based on (binaural) room impulse responses

Zhu

Kang

et al. 2015

Applied Acoustics

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This study systematically compares acoustic simulation and in-situ measurement in terms of speech transmission index (STI), speech intelligibility scores and relationship curves when considering (binaural) room impulse response and four general room conditions, namely, an office, a laboratory, a multimedia lecture hall and a semi-anechoic chamber. The results reveal that STI can be predicted accurately by acoustic simulation (using room acoustics software ODEON) when there is a good agreement between the virtual models and the real rooms and that different reverberation time (RT) and signal-to-noise ratio (SNR) may exert less significant influence on the simulated STI. However, subjective intelligibility may be overestimated when using acoustic simulation due to the head-related transfer function (HRTF) filter used, and the score bias may be minimal and difficult to detect in everyday situations. There is no obvious score tendency caused by different RT, though with the decrease in the SNR, score bias may increase. Overall, considering that the accurate acoustic modelling of rooms is often problematic, it is difficult to obtain accurate speech intelligibility prediction results using a simulation technique, especially when the room has not yet been built.

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Optimisation design and verification of the acoustic environment for multimedia classrooms in universities based on simulation

et al. 2021

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Influence of sound source characteristics in determining objective speech intelligibility metrics

Cited by 12 publications

References 5 publications

Comparison of different in situ measurements techniques of intelligibility in an open-plan office

Comparison of different in situ measurements techniques of intelligibility in an open-plan office

Comparisons between simulated and in-situ measured speech intelligibility based on (binaural) room impulse responses

Optimisation design and verification of the acoustic environment for multimedia classrooms in universities based on simulation

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