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Advances in Joint CTC-Attention Based End-to-End Speech Recognition with a Deep CNN Encoder and RNN-LM.

, , , and . INTERSPEECH, page 949-953. ISCA, (2017)

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CNN-based MultiChannel End-to-End Speech Recognition for everyday home environments., , , , and . CoRR, (2018)Semi-Supervised Speaker Adaptation for End-to-End Speech Synthesis with Pretrained Models., , , , , and . ICASSP, page 7634-7638. IEEE, (2020)Deep clustering: Discriminative embeddings for segmentation and separation., , , and . ICASSP, page 31-35. IEEE, (2016)Joint Acoustic and Class Inference for Weakly Supervised Sound Event Detection., , , , , and . ICASSP, page 36-40. IEEE, (2019)Language Model Integration Based on Memory Control for Sequence to Sequence Speech Recognition., , , , , , and . ICASSP, page 6191-6195. IEEE, (2019)Multilingual End-to-End Speech Translation., , , and . ASRU, page 570-577. IEEE, (2019)Simultaneous Speech Recognition and Speaker Diarization for Monaural Dialogue Recordings with Target-Speaker Acoustic Models., , , , , and . ASRU, page 31-38. IEEE, (2019)Beamforming networks using spatial covariance features for far-field speech recognition., , , and . APSIPA, page 1-6. IEEE, (2016)An analysis of environment, microphone and data simulation mismatches in robust speech recognition., , , , and . Comput. Speech Lang., (2017)CTC Alignments Improve Autoregressive Translation., , , , , , and . EACL, page 1615-1631. Association for Computational Linguistics, (2023)