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Minimum word error training of long short-term memory recurrent neural network language models for speech recognition.

, , , and . ICASSP, page 5990-5994. IEEE, (2016)

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CNN-based MultiChannel End-to-End Speech Recognition for everyday home environments., , , , and . CoRR, (2018)Non-stationary noise estimation method based on bias-residual component decomposition for robust speech recognition., , and . ICASSP, page 4816-4819. IEEE, (2011)TF-GridNet: Making Time-Frequency Domain Models Great Again for Monaural Speaker Separation., , , , , and . CoRR, (2022)End-to-End Speaker Diarization as Post-Processing., , , , and . CoRR, (2020)The 2020 ESPnet update: new features, broadened applications, performance improvements, and future plans., , , , , , , , , and 5 other author(s). CoRR, (2020)An analysis of environment, microphone and data simulation mismatches in robust speech recognition., , , , and . Comput. Speech Lang., (2017)Application of variational Bayesian estimation and clustering to acoustic model adaptation., , , and . ICASSP (1), page 568-571. IEEE, (2003)Acoustic Model Adaptation Based on Coarse/Fine Training of Transfer Vectors Using Directional Statistics., and . ICASSP (1), page 1005-1008. IEEE, (2006)Beamforming networks using spatial covariance features for far-field speech recognition., , , and . APSIPA, page 1-6. IEEE, (2016)End-to-End Monaural Multi-speaker ASR System without Pretraining., , , and . CoRR, (2018)