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A solution to residual noise in speech denoising with sparse representation.

, , , , and . ICASSP, page 4653-4656. IEEE, (2012)

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A Multi-Task Learning Framework for Overcoming the Catastrophic Forgetting in Automatic Speech Recognition., , , , and . CoRR, (2019)Case based reasoning solution to the problem of sustained learning in keyword spotting., , , and . ICASSP, page 8570-8574. IEEE, (2013)Upper and lower bounds for approximation of the Kullback-Leibler divergence between Hidden Markov models., , , and . ICASSP, page 7609-7613. IEEE, (2013)Mutual Information-based Embedding Decoupling for Generalizable Speaker Verification., , , , , and . INTERSPEECH, page 3147-3151. ISCA, (2023)A new framework for robust speech recognition in complex channel environments., , , and . Digit. Signal Process., (2014)Online Learning for Classification of Low-rank Representation Features and Its Applications in Audio Segment Classification, , , and . CoRR, (2011)Sentiment Knowledge Enhanced Self-supervised Learning for Multimodal Sentiment Analysis., , , , and . ACL (Findings), page 12966-12978. Association for Computational Linguistics, (2023)Convolutional Grid Long Short-Term Memory Recurrent Neural Network for Automatic Speech Recognition., , and . ICONIP (5), volume 1143 of Communications in Computer and Information Science, page 718-726. Springer, (2019)A Fast Audio Retrieval Method Based on Negativity Judgment., , , and . IIH-MSP, page 1156-1159. IEEE Computer Society, (2009)Heterogeneous mixture models using sparse representation features for applause and laugh detection., , and . MLSP, page 1-5. IEEE, (2011)