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Alignment Restricted Streaming Recurrent Neural Network Transducer., , , , , , , , и . CoRR, (2020)Efficient Knowledge Distillation for RNN-Transducer Models., , , , , и . CoRR, (2020)UMEME: University of Michigan Emotional McGurk Effect Data Set., , и . IEEE Trans. Affect. Comput., 6 (4): 395-409 (2015)Streaming Transformer Transducer based Speech Recognition Using Non-Causal Convolution., , , , , , , , , и 2 other автор(ы). ICASSP, стр. 8277-8281. IEEE, (2022)A Streaming On-Device End-To-End Model Surpassing Server-Side Conventional Model Quality and Latency., , , , , , , , , и 18 other автор(ы). ICASSP, стр. 6059-6063. IEEE, (2020)Analyzing the Quality and Stability of a Streaming End-to-End On-Device Speech Recognizer., , , , и . INTERSPEECH, стр. 591-595. ISCA, (2020)Efficient Knowledge Distillation for RNN-Transducer Models., , , , , и . ICASSP, стр. 5639-5643. IEEE, (2021)Federated Domain Adaptation for ASR with Full Self-Supervision., , , , , и . INTERSPEECH, стр. 536-540. ISCA, (2022)Handling the Alignment for Wake Word Detection: A Comparison Between Alignment-Based, Alignment-Free and Hybrid Approaches., , , , , и . INTERSPEECH, стр. 5366-5370. ISCA, (2023)Multi-Head State Space Model for Speech Recognition., , , , , , , , , и 1 other автор(ы). INTERSPEECH, стр. 241-245. ISCA, (2023)