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It has been demonstrated that the acoustic environment has an impact on timbre and speech intelligibility. Automatic speech recognition is an established area that suffers from the negative effects of mismatch between different room impulse responses (RIR.) To better understand the changes imparted by the RIR, we have created synthetic responses to simulate utterances recorded in different locations. Using speech recognition techniques to quantify our results, we then looked for trends in performance to connect with impulse response changes.
Author (s): Anderson, Jeremy;
Harris, John;
Affiliation:
University of Florida
(See document for exact affiliation information.)
AES Convention: 125
Paper Number:7548
Publication Date:
2008-10-06
Session subject:
Room Acoustics and Binaural Audio
DOI:
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Anderson, Jeremy; Harris, John; 2008; Quantifying the Effect of Room Response on Automatic Speech Recognition Systems [PDF]; University of Florida; Paper 7548; Available from: https://aes.org/publications/elibrary-page/?id=14700
Anderson, Jeremy; Harris, John; Quantifying the Effect of Room Response on Automatic Speech Recognition Systems [PDF]; University of Florida; Paper 7548; 2008 Available: https://aes.org/publications/elibrary-page/?id=14700
@inproceedings{Anderson2008quantifying,
title={{Quantifying the Effect of Room Response on Automatic Speech Recognition Systems}},
author={Anderson, Jeremy and Harris, John},
year={2008},
month={oct},
booktitle={Journal of the Audio Engineering Society},
publisher={Paper 7548; AES Convention 125; October 2008},
number={7548},
organization={AES},
}
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