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Real-Time Bayesian Inference: A Soft Computing Approach to Environmental Learning for On-Line Robust Automatic Speech Recognition.

, , and . SOCO, volume 87 of Advances in Intelligent and Soft Computing, page 445-452. Springer, (2011)

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A study on bias-based speech signal conditioning techniques for improving the robustness of automatic speech recognition., , and . CCECE, page 664-669. IEEE, (2009)Distributed automatic text-independent speaker identification using GMM-UBM speaker models., , and . CCECE, page 372-375. IEEE, (2009)Text-independent distributed speaker identification and verification using GMM-UBM speaker models for mobile communications., , and . ISSPA, page 57-60. IEEE, (2010)A Rapid Adaptation Algorithm for Tracking Highly Non-Stationary Noises based on Bayesian Inference for On-Line Spectral Change Point Detection., , and . INTERSPEECH, page 1205-1208. ISCA, (2011)A soft computing approach to improve the robustness of on-line ASR in previously unseen highly non-stationary acoustic environments., , and . ISSPA, page 522-527. IEEE, (2012)A highly non-stationary noise tracking and compensation algorithm, with applications to speech enhancement and on-line ASR., , and . ICASSP, page 4337-4340. IEEE, (2012)Frame recursive dynamic mean bias removal technique for robust environment-aware speech recognition in real world applications., , and . CCECE, page 1-5. IEEE, (2010)Real-Time Bayesian Inference: A Soft Computing Approach to Environmental Learning for On-Line Robust Automatic Speech Recognition., , and . SOCO, volume 87 of Advances in Intelligent and Soft Computing, page 445-452. Springer, (2011)Bayesian on-line spectral change point detection: a soft computing approach for on-line ASR., , and . I. J. Speech Technology, 15 (1): 5-23 (2012)