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FNeural Speech Enhancement with Very Low Algorithmic Latency and Complexity via Integrated full- and sub-band Modeling.

, , , , , and . ICASSP, page 1-5. IEEE, (2023)

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High-accuracy user identification using EEG biometrics., , , , , , and . EMBC, page 854-858. IEEE, (2016)Effectiveness of discriminative training and feature transformation for reverberated and noisy speech., , and . ICASSP, page 6935-6939. IEEE, (2013)Phase-sensitive and recognition-boosted speech separation using deep recurrent neural networks., , , and . ICASSP, page 708-712. IEEE, (2015)Bag Of ARCS: New representation of speech segment features based on finite state machines., , , , and . ICASSP, page 4201-4204. IEEE, (2012)End-to-end Speech Recognition With Word-Based Rnn Language Models., , and . SLT, page 389-396. IEEE, (2018)Application of topic tracking model to language model adaptation and meeting analysis., , , , and . SLT, page 378-383. IEEE, (2010)Structural Bayesian Linear Regression for Hidden Markov Models., , and . J. Signal Process. Syst., 74 (3): 341-358 (2014)Non-stationary noise estimation method based on bias-residual component decomposition for robust speech recognition., , and . ICASSP, page 4816-4819. IEEE, (2011)Bayesian Speech and Language Processing, and . Cambridge University Press, (2015)CNN-based MultiChannel End-to-End Speech Recognition for everyday home environments., , , , and . CoRR, (2018)