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Simpleflat: A Simple Whole-Network Pre-Training Approach for RNN Transducer-Based End-to-End Speech Recognition.

T. Moriya, T. Ashihara, T. Tanaka, T. Ochiai, H. Sato, A. Ando, Y. Ijima, R. Masumura, and Y. Shinohara. ICASSP, page 5664-5668. IEEE, (2021)

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Noise-robust zero-shot text-to-speech synthesis conditioned on self-supervised speech-representation model with adapters.K. Fujita, H. Sato, T. Ashihara, H. Kanagawa, M. Delcroix, T. Moriya, and Y. Ijima. CoRR, (2024)Self-Distillation for Improving CTC-Transformer-Based ASR Systems.T. Moriya, T. Ochiai, S. Karita, H. Sato, T. Tanaka, T. Ashihara, R. Masumura, Y. Shinohara, and M. Delcroix. INTERSPEECH, page 546-550. ISCA, (2020)Improving Scheduled Sampling for Neural Transducer-Based ASR.T. Moriya, T. Ashihara, H. Sato, K. Matsuura, T. Tanaka, and R. Masumura. ICASSP, page 1-5. IEEE, (2023)Zero-Shot Text-to-Speech Synthesis Conditioned Using Self-Supervised Speech Representation Model.K. Fujita, T. Ashihara, H. Kanagawa, T. Moriya, and Y. Ijima. ICASSP Workshops, page 1-5. IEEE, (2023)Probing Self-supervised Learning Models with Target Speech Extraction.J. Peng, M. Delcroix, T. Ochiai, O. Plchot, T. Ashihara, S. Araki, and J. Cernocký. CoRR, (2024)Downstream Task Agnostic Speech Enhancement with Self-Supervised Representation Loss.H. Sato, R. Masumura, T. Ochiai, M. Delcroix, T. Moriya, T. Ashihara, K. Shinayama, S. Mizuno, M. Ihori, T. Tanaka and 1 other author(s). CoRR, (2023)Domain Adversarial Self-Supervised Speech Representation Learning for Improving Unknown Domain Downstream Tasks.T. Tanaka, R. Masumura, H. Sato, M. Ihori, K. Matsuura, T. Ashihara, and T. Moriya. INTERSPEECH, page 1066-1070. ISCA, (2022)Leveraging Language Embeddings for Cross-Lingual Self-Supervised Speech Representation Learning.T. Tanaka, R. Masumura, M. Ihori, H. Sato, T. Yamane, T. Ashihara, K. Matsuura, and T. Moriya. ICASSP, page 1-5. IEEE, (2023)Leveraging Large Text Corpora For End-To-End Speech Summarization.K. Matsuura, T. Ashihara, T. Moriya, T. Tanaka, A. Ogawa, M. Delcroix, and R. Masumura. ICASSP, page 1-5. IEEE, (2023)Simpleflat: A Simple Whole-Network Pre-Training Approach for RNN Transducer-Based End-to-End Speech Recognition.T. Moriya, T. Ashihara, T. Tanaka, T. Ochiai, H. Sato, A. Ando, Y. Ijima, R. Masumura, and Y. Shinohara. ICASSP, page 5664-5668. IEEE, (2021)

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Simpleflat: A Simple Whole-Network Pre-Training Approach for RNN Transducer-Based End-to-End Speech Recognition.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Simpleflat: A Simple Whole-Network Pre-Training Approach for RNN Transducer-Based End-to-End Speech Recognition.

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Simpleflat: A Simple Whole-Network Pre-Training Approach for RNN Transducer-Based End-to-End Speech Recognition.