How Do Humans Benefit from Binaural Listening when Recognizing Speech in Noisy and Reverberant Conditions?

Brand T, Warzybok A, Rennies J, Hauth C. How Do Humans Benefit from Binaural Listening when Recognizing Speech in Noisy and Reverberant Conditions? In: AES Conference: 60th International Conference: Dereverberation and Reverberation of Audio, Music, and Speech. Audio Engineering Society; 2016. Paper K-2. Available from: https://aes.org/publications/elibrary-page/?id=18062

@inproceedings{Brand2016_18062,
  author = {Brand, Thomas and Warzybok, Anna and Rennies, Jan and Hauth, Christopher},
  title = {{How Do Humans Benefit from Binaural Listening when Recognizing Speech in Noisy and Reverberant Conditions?}},
  booktitle = {AES Conference: 60th International Conference: Dereverberation and Reverberation of Audio, Music, and Speech},
  note = {Paper K-2},
  year = {2016},
  month = jan,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=18062}
}

TY  - CPAPER
TI  - How Do Humans Benefit from Binaural Listening when Recognizing Speech in Noisy and Reverberant Conditions?
AU  - Brand, Thomas
AU  - Warzybok, Anna
AU  - Rennies, Jan
AU  - Hauth, Christopher
T2  - AES Conference: 60th International Conference: Dereverberation and Reverberation of Audio, Music, and Speech
M1  - Paper K-2
PY  - 2016
DA  - 2016/01/06
UR  - https://aes.org/publications/elibrary-page/?id=18062
PB  - Audio Engineering Society
LA  - en
AB  - The human auditory system uses the directivity of the ears together with better-ear-listening and binaural processing for astonishingly high speech recognition in complex listening situations including interfering sound sources and reverberation. The relation between the spatial direction of the target speech source and interfering sound sources influences intelligibility in such complex listening conditions. This can be quantitatively described using a binaural speech intelligi-bility model (BSIM) that applies a binaural equalization-and-cancellation processing stage. The influence of early reflections and their directions as well as the influence of reverberation can be predicted by analysing the head-related room impulse response (HRIR). Early reflections of the target speech signal can be integrated to the target. Later reflections and reverberation have to be regarded like noise.
ER  -