Speech recognition in noise and reverberation in multichannel auralizations of two real rooms

Antti Kuusinen; Ville Sivonen; Aarno Dietz; Antti Aarnisalo; Tapio Lokki

Speech recognition in noise and reverberation in multichannel auralizations of two real rooms

Antti Kuusinen, Ville Sivonen, Aarno Dietz, Antti Aarnisalo, Tapio Lokki

Research output: Contribution to conference › Poster › Scientific

Abstract

Test stimuli is many speech-in-noise-tests contain little to no reverberation whereas people often report on difficulties specifically in understanding speech in reverberant conditions. The aim of this project is to investigate how advanced spatial sound technologies can be used in hearing diagnostics and to develop novel tools with more complex and authentic sound scenes. A recently developed auralization method (Spatial Decomposition Method) may be well suited for bringing advanced spatial sound technology into clinically feasible environments. Here, we present results of our study, where we have used the Finnish Matrix Sentence Test with multichannel auralizations of two real spaces with approx. one and two second reverberation times to measure speech reception thresholds in noise between anechoic/dry and reverberant conditions. Perhaps surprisingly, the results indicate a small but significant improvement in SRTs with one second reverberation time compared to the reference case without reverberation.

Original language	English
Publication status	Published - 21 Aug 2019
MoE publication type	Not Eligible
Event	International Symposium on Auditory and Audiological Research - Hotel Nyborg Strand, Nyborg, Denmark Duration: 21 Aug 2019 → 23 Aug 2019 Conference number: 7 https://www.isaar.eu/

Conference

Conference	International Symposium on Auditory and Audiological Research
Abbreviated title	ISAAR
Country	Denmark
City	Nyborg
Period	21/08/2019 → 23/08/2019
Internet address	https://www.isaar.eu/

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Kuusinen, A., Sivonen, V., Dietz, A., Aarnisalo, A., & Lokki, T. (2019). Speech recognition in noise and reverberation in multichannel auralizations of two real rooms. Poster session presented at International Symposium on Auditory and Audiological Research, Nyborg, Denmark.

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title = "Speech recognition in noise and reverberation in multichannel auralizations of two real rooms",

abstract = "Test stimuli is many speech-in-noise-tests contain little to no reverberation whereas people often report on difficulties specifically in understanding speech in reverberant conditions. The aim of this project is to investigate how advanced spatial sound technologies can be used in hearing diagnostics and to develop novel tools with more complex and authentic sound scenes. A recently developed auralization method (Spatial Decomposition Method) may be well suited for bringing advanced spatial sound technology into clinically feasible environments. Here, we present results of our study, where we have used the Finnish Matrix Sentence Test with multichannel auralizations of two real spaces with approx. one and two second reverberation times to measure speech reception thresholds in noise between anechoic/dry and reverberant conditions. Perhaps surprisingly, the results indicate a small but significant improvement in SRTs with one second reverberation time compared to the reference case without reverberation.",

author = "Antti Kuusinen and Ville Sivonen and Aarno Dietz and Antti Aarnisalo and Tapio Lokki",

year = "2019",

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T1 - Speech recognition in noise and reverberation in multichannel auralizations of two real rooms

AU - Kuusinen, Antti

AU - Sivonen, Ville

AU - Dietz, Aarno

AU - Aarnisalo, Antti

AU - Lokki, Tapio

PY - 2019/8/21

Y1 - 2019/8/21

N2 - Test stimuli is many speech-in-noise-tests contain little to no reverberation whereas people often report on difficulties specifically in understanding speech in reverberant conditions. The aim of this project is to investigate how advanced spatial sound technologies can be used in hearing diagnostics and to develop novel tools with more complex and authentic sound scenes. A recently developed auralization method (Spatial Decomposition Method) may be well suited for bringing advanced spatial sound technology into clinically feasible environments. Here, we present results of our study, where we have used the Finnish Matrix Sentence Test with multichannel auralizations of two real spaces with approx. one and two second reverberation times to measure speech reception thresholds in noise between anechoic/dry and reverberant conditions. Perhaps surprisingly, the results indicate a small but significant improvement in SRTs with one second reverberation time compared to the reference case without reverberation.

AB - Test stimuli is many speech-in-noise-tests contain little to no reverberation whereas people often report on difficulties specifically in understanding speech in reverberant conditions. The aim of this project is to investigate how advanced spatial sound technologies can be used in hearing diagnostics and to develop novel tools with more complex and authentic sound scenes. A recently developed auralization method (Spatial Decomposition Method) may be well suited for bringing advanced spatial sound technology into clinically feasible environments. Here, we present results of our study, where we have used the Finnish Matrix Sentence Test with multichannel auralizations of two real spaces with approx. one and two second reverberation times to measure speech reception thresholds in noise between anechoic/dry and reverberant conditions. Perhaps surprisingly, the results indicate a small but significant improvement in SRTs with one second reverberation time compared to the reference case without reverberation.

M3 - Poster

ER -