Improved Mask-CTC for Non-Autoregressive End-to-End ASR

Author:

Higuchi Yosuke,Inaguma Hirofumi,Watanabe Shinji,Ogawa Tetsuji,Kobayashi Tetsunori

Publisher

IEEE

Cited by 38 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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2. End-to-End Neural Speaker Diarization With Non-Autoregressive Attractors;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024

3. LV-CTC: Non-Autoregressive ASR With CTC and Latent Variable Models;2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU);2023-12-16

4. Segment-Level Vectorized Beam Search Based on Partially Autoregressive Inference;2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU);2023-12-16

5. Hybrid Syllable and Character Representations for Mandarin ASR;2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC);2023-10-31

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