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Deep Neural Networks for Emotion Recognition Combining Audio and Transcripts., , , , , and . INTERSPEECH, page 247-251. ISCA, (2018)Improving Reconstruction Loss Based Speaker Embedding in Unsupervised and Semi-Supervised Scenarios., , , and . ICASSP, page 6733-6737. IEEE, (2021)The JHU submission to VoxSRC-21: Track 3., , and . CoRR, (2021)Language model integration based on memory control for sequence to sequence speech recognition., , , , , , and . CoRR, (2018)Transfer Learning of Language-independent End-to-end ASR with Language Model Fusion., , , , and . ICASSP, page 6096-6100. IEEE, (2019)Non-contrastive self-supervised learning of utterance-level speech representations., , , , , and . INTERSPEECH, page 4028-4032. ISCA, (2022)Advances in Speaker Recognition for Multilingual Conversational Telephone Speech: The JHU-MIT System for NIST SRE20 CTS Challenge., , , , , and . Odyssey, page 338-345. ISCA, (2022)Study of the Performance of Automatic Speech Recognition Systems in Speakers with Parkinson's Disease., , , , , , and . INTERSPEECH, page 3875-3879. ISCA, (2019)Multilingual sequence-to-sequence speech recognition: architecture, transfer learning, and language modeling., , , , , , , , and . CoRR, (2018)Transfer learning of language-independent end-to-end ASR with language model fusion., , , , and . CoRR, (2018)