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Acoustic Sensing Analytics Applied to Speech in Reverberation Conditions

Abstract

The paper aims to discuss a case study of sensing analytics and technology in acoustics when applied to reverberation conditions. Reverberation is one of the issues that makes speech in indoor spaces challenging to understand. This problem is particularly critical in large spaces with few absorbing or diffusing surfaces. One of the natural remedies to improve speech intelligibility in such conditions may be achieved through speaking slowly. It is possible to use algorithms that reduce the rate of speech (RoS) in real time. Therefore, the study aims to find recommended values of RoS in the context of STI (speech transmission index) in different acoustic environments. In the experiments, speech intelligibility for six impulse responses recorded in spaces with different STIs is investigated using a sentence test (for the Polish language). Fifteen subjects with normal hearing participated in these tests. The results of the analytical analysis enabled us to propose a curve specifying the maximum RoS values translating into understandable speech under given acoustic conditions. This curve can be used in speech processing control technology as well as compressive reverse acoustic sensing.

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DOI:
Digital Object Identifier (open in new tab) 10.3390/s21186320
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Details

Category:
Articles
Type:
artykuły w czasopismach
Published in:
SENSORS no. 21,
ISSN: 1424-8220
Language:
English
Publication year:
2021
Bibliographic description:
Odya P., Kotus J., Kurowski A., Kostek B.: Acoustic Sensing Analytics Applied to Speech in Reverberation Conditions// SENSORS -Vol. 21,iss. 18 (2021), s.6320-
DOI:
Digital Object Identifier (open in new tab) 10.3390/s21186320
Sources of funding:
  • BZ z firmą AMBIENT - Przygotowanie i przeprowadzenie oceny wyników badań i testów akustycznych systemu rozgłoszeniowego oraz współpraca przy tworzeniu jego funkcjonalności Zadanie nr 034324
Verified by:
Gdańsk University of Technology

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