Mapping Speech Intelligibility in Noisy Rooms

Culling JF, Jelfs S, Lavandier M. Mapping Speech Intelligibility in Noisy Rooms. In: AES Convention 128. Audio Engineering Society; 2010. Paper 8050. Available from: https://aes.org/publications/elibrary-page/?id=15347

@inproceedings{Culling2010_15347,
  author = {Culling, John F. and Jelfs, Sam and Lavandier, Mathieu},
  title = {{Mapping Speech Intelligibility in Noisy Rooms}},
  booktitle = {AES Convention 128},
  note = {Paper 8050},
  year = {2010},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=15347}
}

TY  - CPAPER
TI  - Mapping Speech Intelligibility in Noisy Rooms
AU  - Culling, John F.
AU  - Jelfs, Sam
AU  - Lavandier, Mathieu
T2  - AES Convention 128
M1  - Paper 8050
PY  - 2010
DA  - 2010/05/06
UR  - https://aes.org/publications/elibrary-page/?id=15347
PB  - Audio Engineering Society
LA  - en
AB  - 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 equalization-cancellation 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 nearby 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.
ER  -