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Deep Learning for Audio Signal Processing., , , , , and . CoRR, (2019)A Comparison of End-to-End Models for Long-Form Speech Recognition., , , , , , , , , and 4 other author(s). ASRU, page 889-896. IEEE, (2019)Improving Proper Noun Recognition in End-To-End Asr by Customization of the Mwer Loss Criterion., , and . ICASSP, page 7789-7793. IEEE, (2020)Optimization Techniques to Improve Training Speed of Deep Neural Networks for Large Speech Tasks., , , and . IEEE Trans. Speech Audio Process., 21 (11): 2267-2276 (2013)Scaling Up Deliberation For Multilingual ASR., , and . SLT, page 771-776. IEEE, (2022)Deep Context: End-to-end Contextual Speech Recognition., , , , and . SLT, page 418-425. IEEE, (2018)A Streaming On-Device End-To-End Model Surpassing Server-Side Conventional Model Quality and Latency., , , , , , , , , and 18 other author(s). ICASSP, page 6059-6063. IEEE, (2020)A convex hull approach to sparse representations for exemplar-based speech recognition., , , , and . ASRU, page 59-64. IEEE, (2011)Making Deep Belief Networks effective for large vocabulary continuous speech recognition., , , , , and . ASRU, page 30-35. IEEE, (2011)Semi-supervised Training for End-to-end Models via Weak Distillation., , , and . ICASSP, page 2837-2841. IEEE, (2019)