Literature DB >> 30710956

Conversational speech levels and signal-to-noise ratios in realistic acoustic conditions.

Adam Weisser1, Jörg M Buchholz1.   

Abstract

Estimating the basic acoustic parameters of conversational speech in noisy real-world conditions has been an elusive task in hearing research. Nevertheless, these data are essential ingredients for speech intelligibility tests and fitting rules for hearing aids. Previous surveys did not provide clear methodology for their acoustic measurements and setups, were opaque about their samples, or did not control for distance between the talker and listener, even though people are known to adapt their distance in noisy conversations. In the present study, conversations were elicited between pairs of people by asking them to play a collaborative game that required them to communicate. While performing this task, the subjects listened to binaural recordings of different everyday scenes, which were presented to them at their original sound pressure level (SPL) via highly open headphones. Their voices were recorded separately using calibrated headset microphones. The subjects were seated inside an anechoic chamber at 1 and 0.5 m distances. Precise estimates of realistic speech levels and signal-to-noise ratios (SNRs) were obtained for the different acoustic scenes, at broadband and third octave levels. It is shown that with acoustic background noise at above approximately 69 dB SPL at 1 m distance, or 75 dB SPL at 0.5 m, the average SNR can become negative. It is shown through interpolation of the two conditions that if the conversation partners would have been allowed to optimize their positions by moving closer to each other, then positive SNRs should be only observed above 75 dB SPL. The implications of the results on speech tests and hearing aid fitting rules are discussed.

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Year:  2019        PMID: 30710956     DOI: 10.1121/1.5087567

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  11 in total

1.  Enhancing the perceptual segregation and localization of sound sources with a triple beamformer.

Authors:  Gerald Kidd; Todd R Jennings; Andrew J Byrne
Journal:  J Acoust Soc Am       Date:  2020-12       Impact factor: 1.840

2.  Development of the Everyday Conversational Sentences in Noise test.

Authors:  Kelly M Miles; Gitte Keidser; Katrina Freeston; Timothy Beechey; Virginia Best; Jörg M Buchholz
Journal:  J Acoust Soc Am       Date:  2020-03       Impact factor: 1.840

3.  Analysis and Calibration of Lombard Effect and Whisper for Speaker Recognition.

Authors:  Finnian Kelly; John H L Hansen
Journal:  IEEE/ACM Trans Audio Speech Lang Process       Date:  2021-01-21

4.  Investigating Acoustic Correlates of Intelligibility Gains and Losses During Slowed Speech: A Hybridization Approach.

Authors:  Frits van Brenk; Alexander Kain; Kris Tjaden
Journal:  Am J Speech Lang Pathol       Date:  2021-05-28       Impact factor: 2.408

5.  Objective Assessment of Speech Intelligibility in Crowded Public Spaces.

Authors:  Douglas S Brungart; Mary E Barrett; Julie I Cohen; Calli Fodor; Calli M Yancey; Sandra Gordon-Salant
Journal:  Ear Hear       Date:  2020 Nov/Dec       Impact factor: 3.562

6.  Complex Acoustic Environments: Review, Framework, and Subjective Model.

Authors:  Adam Weisser; Jörg M Buchholz; Gitte Keidser
Journal:  Trends Hear       Date:  2019 Jan-Dec       Impact factor: 3.293

7.  Binaural Recordings in Natural Acoustic Environments: Estimates of Speech-Likeness and Interaural Parameters.

Authors:  S Theo Goverts; H Steven Colburn
Journal:  Trends Hear       Date:  2020 Jan-Dec       Impact factor: 3.293

Review 8.  Listening-Based Communication Ability in Adults With Hearing Loss: A Scoping Review of Existing Measures.

Authors:  Katie Neal; Catherine M McMahon; Sarah E Hughes; Isabelle Boisvert
Journal:  Front Psychol       Date:  2022-03-10

9.  Measuring Speech Intelligibility and Hearing-Aid Benefit Using Everyday Conversational Sentences in Real-World Environments.

Authors:  Kelly Miles; Timothy Beechey; Virginia Best; Jörg Buchholz
Journal:  Front Neurosci       Date:  2022-03-17       Impact factor: 5.152

10.  The Concurrent OLSA Test: A Method for Speech Recognition in Multi-talker Situations at Fixed SNR.

Authors:  Jan Heeren; Theresa Nuesse; Matthias Latzel; Inga Holube; Volker Hohmann; Kirsten C Wagener; Michael Schulte
Journal:  Trends Hear       Date:  2022 Jan-Dec       Impact factor: 3.496

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