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Tutorial and guidelines on measurement of sound pressure level in voice and speech
KTH, Skolan för teknik och hälsa (STH), Naturvetenskap och biomedicin. Division of Speech and Language Pathology, Department of Clinical Science, Intervention and Technology, Karolinska Institutet, Stockholm, Sweden.ORCID-id: 0000-0003-4129-9793
2018 (Engelska)Ingår i: Journal of Speech, Language and Hearing Research, ISSN 1092-4388, E-ISSN 1558-9102, Vol. 61, nr 3, s. 441-461Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

Purpose: Sound pressure level (SPL) measurement of voice and speech is often considered a trivial matter, but the measured levels are often reported incorrectly or incompletely, making them difficult to compare among various studies. This article aims at explaining the fundamental principles behind these measurements and providing guidelines to improve their accuracy and reproducibility. Method: Basic information is put together from standards, technical, voice and speech literature, and practical experience of the authors and is explained for nontechnical readers. Results: Variation of SPL with distance, sound level meters and their accuracy, frequency and time weightings, and background noise topics are reviewed. Several calibration procedures for SPL measurements are described for stand-mounted and head-mounted microphones. Conclusions: SPL of voice and speech should be reported together with the mouth-to-microphone distance so that the levels can be related to vocal power. Sound level measurement settings (i.e., frequency weighting and time weighting/averaging) should always be specified. Classified sound level meters should be used to assure measurement accuracy. Head-mounted microphones placed at the proximity of the mouth improve signal-to-noise ratio and can be taken advantage of for voice SPL measurements when calibrated. Background noise levels should be reported besides the sound levels of voice and speech. 

Ort, förlag, år, upplaga, sidor
American Speech-Language-Hearing Association , 2018. Vol. 61, nr 3, s. 441-461
Nationell ämneskategori
Data- och informationsvetenskap
Identifikatorer
URN: urn:nbn:se:kth:diva-227418DOI: 10.1044/2017_JSLHR-S-17-0095ISI: 000428251900001PubMedID: 29450495Scopus ID: 2-s2.0-85044198320OAI: oai:DiVA.org:kth-227418DiVA, id: diva2:1211035
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Export Date: 9 May 2018; Article; CODEN: JSLRF; Correspondence Address: Švec, J.G.; Department of Biophysics, Faculty of Science, Palacký UniversityCzech Republic; email: jan.svec@upol.cz; Funding details: GA16-01246S, GACR, Grantová Agentura České Republiky; Funding details: GA CR, GACR, Grantová Agentura České Republiky; Funding text: This work was supported by the Czech Science Foundation (GA CR) Project GA16-01246S, awarded to Jan G. Švec, and by Svante Granqvist. Supplemental material to this article in the form of MATLAB scripts is available at http://www.mathworks. com/matlabcentral/fileexchange/64231-calibratevoicespl. QC 20180530

Tillgänglig från: 2018-05-30 Skapad: 2018-05-30 Senast uppdaterad: 2022-06-26Bibliografiskt granskad

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