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Deep Learning for Environmentally Robust Speech Recognition: An Overview of Recent Developments.

, , , , , and . ACM Trans. Intell. Syst. Technol., 9 (5): 49:1-49:28 (2018)

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Gaussian mixture linear prediction., and . ICASSP, page 6285-6289. IEEE, (2014)Robust speech analysis by lag-weighted linear prediction., and . ICASSP, page 4453-4456. IEEE, (2012)Filtering and subspace selection for spectral features in detecting speech under physical stress., and . INTERSPEECH, page 432-436. ISCA, (2014)Analysis and synthesis of shouted speech., , , , , and . INTERSPEECH, page 1544-1548. ISCA, (2013)Using group delay functions from all-pole models for speaker recognition., , , , and . INTERSPEECH, page 2489-2493. ISCA, (2013)Temporally Weighted Linear Prediction Features for Tackling Additive Noise in Speaker Verification., , , and . IEEE Signal Process. Lett., 17 (6): 599-602 (2010)Regularized All-Pole Models for Speaker Verification Under Noisy Environments., , , , , and . IEEE Signal Process. Lett., 19 (3): 163-166 (2012)Comparison of spectrum estimators in speaker verification: mismatch conditions induced by vocal effort., , , , , and . INTERSPEECH, page 2881-2885. ISCA, (2013)Temporally Weighted Linear Prediction Features for Speaker Verification in Additive Noise., , , and . Odyssey, page 8. ISCA, (2010)Shout detection in noise., , and . ICASSP, page 4968-4971. IEEE, (2011)