Measuring audio-visual speech intelligibility under dynamic listening conditions using virtual reality

Moore AH, Green T, Brookes M, Naylor PA. Measuring audio-visual speech intelligibility under dynamic listening conditions using virtual reality. In: AES Conference: AES 2022 International Audio for Virtual and Augmented Reality Conference. Audio Engineering Society; 2022. Paper 45. Available from: https://aes.org/publications/elibrary-page/?id=21876

@inproceedings{Moore2022_21876,
  author = {Moore, Alastair H. and Green, Tim and Brookes, Mike and Naylor, Patrick A.},
  title = {{Measuring audio-visual speech intelligibility under dynamic listening conditions using virtual reality}},
  booktitle = {AES Conference: AES 2022 International Audio for Virtual and Augmented Reality Conference},
  note = {Paper 45},
  year = {2022},
  month = aug,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=21876}
}

TY  - CPAPER
TI  - Measuring audio-visual speech intelligibility under dynamic listening conditions using virtual reality
AU  - Moore, Alastair H.
AU  - Green, Tim
AU  - Brookes, Mike
AU  - Naylor, Patrick A.
T2  - AES Conference: AES 2022 International Audio for Virtual and Augmented Reality Conference
M1  - Paper 45
PY  - 2022
DA  - 2022/08/06
UR  - https://aes.org/publications/elibrary-page/?id=21876
PB  - Audio Engineering Society
LA  - en
AB  - The ELOSPHERES project is a collaboration between researchers at Imperial College London and University College London which aims to improve the efficacy of hearing aids. The benefit obtained from hearing aids varies significantly between listeners and listening environments. The noisy, reverberant environments which most people find challenging bear little resemblance to the clinics in which consultations occur. In order to make progress in speech enhancement, algorithms need to be evaluated under realistic listening conditions. A key aim of ELOSPHERES is to create a virtual reality-based test environment in which alternative speech enhancement algorithms can be evaluated using a listener-in-the-loop paradigm. In this paper we present the sap-elospheres-audiovisual-test (SEAT) platform and report the results of an initial experiment in which it was used to measure the benefit of visual cues in a speech intelligibility in spatial noise task.
ER  -