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DNN/CNN Acoustic Model Turbo Fusion for Phoneme Recognition.

, , and . ITG Symposium on Speech Communication, page 1-5. VDE / IEEE, (2018)

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Densenet Blstm for Acoustic Modeling in Robust ASR., , , and . SLT, page 6-12. IEEE, (2018)EXIT Charts for Turbo Automatic Speech Recognition: A Case Study., , and . ITG Symposium on Speech Communication, page 1-5. IEEE, (2016)Parameter-Efficient Cross-Language Transfer Learning for a Language-Modular Audiovisual Speech Recognition., , , , , and . ASRU, page 1-8. IEEE, (2023)Transformer-Based Lip-Reading with Regularized Dropout and Relaxed Attention., , , and . SLT, page 723-730. IEEE, (2022)Beyond the Dcase 2017 Challenge on Rare Sound Event Detection: A Proposal for a More Realistic Training and Test Framework., , , and . ICASSP, page 611-615. IEEE, (2020)DNN/CNN Acoustic Model Turbo Fusion for Phoneme Recognition., , and . ITG Symposium on Speech Communication, page 1-5. VDE / IEEE, (2018)Introducing Block-Wise Processing into Turbo Viterbi ASR., , and . ITG Symposium on Speech Communication, page 1-5. IEEE, (2016)Multi-Encoder Learning and Stream Fusion for Transformer-Based End-to-End Automatic Speech Recognition., , and . Interspeech, page 2846-2850. ISCA, (2021)An Efficient and Noise-Robust Audiovisual Encoder for Audiovisual Speech Recognition., , , , , and . INTERSPEECH, page 1583-1587. ISCA, (2023)Multi-Head Fusion Attention for Transformer-Based End-to-End Automatic Speech Recognition., , , and . ITG Conference on Speech Communication, page 1-5. VDE, (2021)