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In the paper, methods of real-time reverb reduction based on Generalized Weighted Prediction Error (GWPE) were presented. It was shown that usage of the proposed audio processing routines highly improve the accuracy of Automatic Speech Recognition (ASR) system namely word error rates (WERs) are reduced 11.36% when the user stands 5 meters from the microphone array. The obtained results are close to the ones that are achieved by the offline GWPE implementation (12.06%). Thanks to optimizations and parameters tuning, computational complexity of the proposed realization of GWPE was highly reduced and it achieves RTFs lower than 1.0 (computation time is shorter than signal duration) when using one core of CPU.
Author (s): Kupryjanow, Adam; Maziewski, Przemyslaw; Kurylo, Lukasz; Lasota, Piotr
Affiliation:
Intel Technology Poland, Gdansk, Poland
(See document for exact affiliation information.)
AES Convention: 142
Paper Number:9803
Publication Date:
2017-05-06
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Session subject:
Miscellaneous 2
Permalink: https://aes2.org/publications/elibrary-page/?id=18677
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Kupryjanow, Adam; Maziewski, Przemyslaw; Kurylo, Lukasz; Lasota, Piotr; 2017; Real-Time Reverb Reduction for Improved Automatic Speech Recognition in Far-Field [PDF]; Intel Technology Poland, Gdansk, Poland; Paper 9803; Available from: https://aes2.org/publications/elibrary-page/?id=18677
Kupryjanow, Adam; Maziewski, Przemyslaw; Kurylo, Lukasz; Lasota, Piotr; Real-Time Reverb Reduction for Improved Automatic Speech Recognition in Far-Field [PDF]; Intel Technology Poland, Gdansk, Poland; Paper 9803; 2017 Available: https://aes2.org/publications/elibrary-page/?id=18677
@article{kupryjanow2017real-time,
author={kupryjanow adam and maziewski przemyslaw and kurylo lukasz and lasota piotr},
journal={journal of the audio engineering society},
title={real-time reverb reduction for improved automatic speech recognition in far-field},
year={2017},
number={9803},
month={may},}