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Lenient Evaluation of Japanese Speech Recognition: Modeling Naturally Occurring Spelling Inconsistency., , and . CoRR, (2023)Semi-supervised End-to-end Speech Recognition Using Text-to-speech and Autoencoders., , , , , and . ICASSP, page 6166-6170. IEEE, (2019)Auxiliary Feature Based Adaptation of End-to-end ASR Systems., , , , and . INTERSPEECH, page 2444-2448. ISCA, (2018)Knowledge Transfer from Large-Scale Pretrained Language Models to End-To-End Speech Recognizers., , and . ICASSP, page 8512-8516. IEEE, (2022)Rescoring N-Best Speech Recognition List Based on One-on-One Hypothesis Comparison Using Encoder-Classifier Model., , , and . ICASSP, page 6099-6103. IEEE, (2018)Unfolded Deep Recurrent Convolutional Neural Network with Jump Ahead Connections for Acoustic Modeling., , , , , and . INTERSPEECH, page 1596-1600. ISCA, (2017)SNRi Target Training for Joint Speech Enhancement and Recognition., , , , and . CoRR, (2021)The 2020 ESPnet update: new features, broadened applications, performance improvements, and future plans., , , , , , , , , and 5 other author(s). CoRR, (2020)Far-field speech recognition using CNN-DNN-HMM with convolution in time., , and . ICASSP, page 4360-4364. IEEE, (2015)A Comparative Study on Neural Architectures and Training Methods for Japanese Speech Recognition., , , and . Interspeech, page 2092-2096. ISCA, (2021)