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Focus on the Present: A Regularization Method for the ASR Source-Target Attention Layer.

, , , and . ICASSP, page 5994-5998. IEEE, (2021)

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Non-Autoregressive Transformer for Speech Recognition., , , , and . IEEE Signal Process. Lett., (2021)Expanding Abbreviations in a Strongly Inflected Language: Are Morphosyntactic Tags Sufficient?. LREC, European Language Resources Association (ELRA), (2018)The JHU Multi-Microphone Multi-Speaker ASR System for the CHiME-6 Challenge., , , , , , , , , and . CoRR, (2020)Representation Learning to Classify and Detect Adversarial Attacks Against Speaker and Speech Recognition Systems., , , and . Interspeech, page 4304-4308. ISCA, (2021)Focus on the Present: A Regularization Method for the ASR Source-Target Attention Layer., , , and . ICASSP, page 5994-5998. IEEE, (2021)Beyond Isolated Utterances: Conversational Emotion Recognition., , , , and . ASRU, page 39-46. IEEE, (2021)LSTM Network for Inflected Abbreviation Expansion.. CoRR, (2017)What Helps Transformers Recognize Conversational Structure? Importance of Context, Punctuation, and Labels in Dialog Act Recognition., , and . CoRR, (2021)Defense against Adversarial Attacks on Hybrid Speech Recognition using Joint Adversarial Fine-tuning with Denoiser., , , , , , and . CoRR, (2022)Fast and parallel decoding for transducer., , , , , , , , and . CoRR, (2022)