Mapping speech intelligibility in noisy rooms

John F. Culling*, Mathieu Lavandier, Sam Jelfs

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

1 Citation (Scopus)


We have developed an algorithm for accurately predicting the intelligibility of speech in noise in a reverberant environment. The algorithm is based on a development of the equalizationcancellation theory of binaural unmasking, combined with established prediction methods for monaural speech perception in noise. It has been validated against a wide range of empirical data. Acoustic measurements of rooms, known as binaural room impulse responses (BRIRs) are analysed to predict intelligibility of a voice masked by any number of steadystate noise maskers in any spatial configuration within the room. This computationally efficient method can be used to generate intelligibility maps of rooms based on the design of the room. It can also be used as a tool to predict the benefit of bilateral auditory prostheses and of directional microphones on those prostheses.

Original languageEnglish
Title of host publicationProceedings of Forum Acusticum 2011
Place of PublicationMadrid
PublisherEuropean Acoustics Association, EAA
Number of pages5
ISBN (Print)8469415204, 9788469415207
Publication statusPublished - 2011
Externally publishedYes
EventForum Acusticum 2011 - Aalborg Congress & Culture Centre, Aalborg, Denmark
Duration: 26 Jun 20111 Jul 2011

Publication series

NameProceedings of Forum Acusticum
PublisherEuropean Acoustics Association
ISSN (Print)2221-3767


ConferenceForum Acusticum 2011
Abbreviated titleFA 2011
Internet address


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