Automated Speech Audiometry for Integrated Voice Over Internet Protocol Communication Services.
Purpose: Problems in speech recognition are often apparent in telecommunication situations. For ecologically valid assessments of such conditions, it is important to quantify the impact of real environments including acoustic conditions at a far-end communication device and all paths of transmission...
| Publicado en: | American Journal of Audiology Vol. 31; pp. 980 - 993 |
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| Autores principales: | , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
American Speech-Language-Hearing Association
2022 Supplement
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=159259804&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 159259804 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10590889 5KS jtl: American Journal of Audiology issn: 10590889 maglogo: N pubinfo: dt: 2022 Supplement vid: 31 pid: 42 pub: American Speech-Language-Hearing Association place: Rockville, Maryland artinfo: ui: 159259804 159259804 159259804 10.1044/2022_AJA-21-00217 159259804 ppf: 980 ppct: 13 formats: fmt: @attributes: type: P tig: atl: Automated Speech Audiometry for Integrated Voice Over Internet Protocol Communication Services. aug: au: Bruns, Tobias Ooster, Jasper Stennes, Matthias Rennies, Jan affil: Division Hearing, Speech and Audio Technology, and Cluster of Excellence Hearing4all, Fraunhofer Institute for Digital Media Technology IDMT, Oldenburg, Germany sug: subj: Audiometry, Speech Voice Internet Communication Voice Recognition Systems Human Male Female Adult Psychometrics Speech Perception Telecommunications Descriptive Statistics Funding Source Adult: 19-44 years Male Female ab: Purpose: Problems in speech recognition are often apparent in telecommunication situations. For ecologically valid assessments of such conditions, it is important to quantify the impact of real environments including acoustic conditions at a far-end communication device and all paths of transmission degradation. This study presents an automated matrix sentence test procedure based on automatic speech recognition (ASR) integrated in a Voice over Internet Protocol (VoIP) infrastructure and compares the individual effects of transmission degradations with results from laboratory measurements. Method: Speech recognition thresholds (SRTs) were measured in 16 normal-hearing subjects in four test conditions: (a) a laboratory condition guided by a human experimenter, (b) a laboratory condition with reduced bandwidth and (c) additionally reduced headset quality to simulate typical communication systems, and (d) an automated, ASR-controlled adaptive test procedure over a real VoIP infrastructure. Errors of the ASR system were analyzed to show possible effects on measurement outcome Results: Measured SRTs showed a highly significant correlation (r = .93) between the fully automatic and "laboratory" conditions, with a constant bias of about 1 dB indicating a linear shift of the data without affecting the distribution around the mean. The individual impact of the different system degradations on SRTs could be quantified Conclusions: This study provides a proof of concept for automated ASR-based SRT measurements over VoIP systems for speech audiometric testing in real communication systems, as it produced results comparable to traditional laboratory settings for this group of 16 normal-hearing subjects. This makes VoIP services a promising candidate for speech audiometric testing in real communication systems. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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