{"total":34,"rows":[{"id":"2102.03216","title":"Intermediate Loss Regularization for CTC-based Speech Recognition","created":"2021-02-05","cited_by_count":96,"area":null},{"id":"2204.09269","title":"A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond","created":"2022-04-20","cited_by_count":64,"area":null},{"id":"2104.02724","title":"Relaxing the Conditional Independence Assumption of CTC-based ASR by Conditioning on Intermediate Predictions","created":"2021-04-06","cited_by_count":61,"area":null},{"id":"2109.04145","title":"PIMNet: A Parallel, Iterative and Mimicking Network for Scene Text Recognition","created":"2021-09-09","cited_by_count":41,"area":null},{"id":"2402.12654","title":"OWSM-CTC: An Open Encoder-Only Speech Foundation Model for Speech Recognition, Translation, and Language Identification","created":"2024-02-20","cited_by_count":37,"area":null},{"id":"2110.05249","title":"A Comparative Study on Non-Autoregressive Modelings for Speech-to-Text Generation","created":"2021-10-11","cited_by_count":28,"area":null},{"id":"2203.03047","title":"Recent Advances in Neural Text Generation: A Task-Agnostic Survey","created":"2022-03-06","cited_by_count":14,"area":null},{"id":"2106.09216","title":"Layer Pruning on Demand with Intermediate CTC","created":"2021-06-17","cited_by_count":13,"area":null},{"id":"2110.04109","title":"Hierarchical Conditional End-to-End ASR with CTC and Multi-Granular Subword Units","created":"2021-10-08","cited_by_count":13,"area":null},{"id":"2112.11442","title":"Deliberation of Streaming RNN-Transducer by Non-autoregressive Decoding","created":"2021-12-01","cited_by_count":13,"area":null},{"id":"2205.14522","title":"A Character-Level Length-Control Algorithm for Non-Autoregressive Sentence Summarization","created":"2022-05-28","cited_by_count":13,"area":null},{"id":"2312.11923","title":"IPAD: Iterative, Parallel, and Diffusion-based Network for Scene Text Recognition","created":"2023-12-19","cited_by_count":12,"area":null},{"id":"2107.09428","title":"Streaming End-to-End ASR based on Blockwise Non-Autoregressive Models","created":"2021-07-20","cited_by_count":11,"area":null},{"id":"2210.16663","title":"BERT Meets CTC: New Formulation of End-to-End Speech Recognition with Pre-trained Masked Language Model","created":"2022-10-29","cited_by_count":11,"area":null},{"id":"2104.02258","title":"Non-autoregressive Mandarin-English Code-switching Speech Recognition","created":"2021-04-06","cited_by_count":8,"area":null},{"id":"2106.09885","title":"An Improved Single Step Non-autoregressive Transformer for Automatic Speech Recognition","created":"2021-06-18","cited_by_count":8,"area":null},{"id":"2203.15773","title":"Streaming parallel transducer beam search with fast-slow cascaded encoders","created":"2022-03-29","cited_by_count":8,"area":null},{"id":"2204.00174","title":"InterAug: Augmenting Noisy Intermediate Predictions for CTC-based ASR","created":"2022-04-01","cited_by_count":5,"area":null},{"id":"2204.00176","title":"Better Intermediates Improve CTC Inference","created":"2022-04-01","cited_by_count":5,"area":null},{"id":"2304.07611","title":"A CTC Alignment-based Non-autoregressive Transformer for End-to-end Automatic Speech Recognition","created":"2023-04-15","cited_by_count":5,"area":null},{"id":"2406.14890","title":"InterBiasing: Boost Unseen Word Recognition through Biasing Intermediate Predictions","created":"2024-06-21","cited_by_count":5,"area":null},{"id":"2304.00173","title":"Lego-Features: Exporting modular encoder features for streaming and deliberation ASR","created":"2023-03-31","cited_by_count":3,"area":null},{"id":"2111.00320","title":"Speaker conditioning of acoustic models using affine transformation for multi-speaker speech recognition","created":"2021-10-30","cited_by_count":2,"area":null},{"id":"2305.07677","title":"Masked Audio Text Encoders are Effective Multi-Modal Rescorers","created":"2023-05-11","cited_by_count":2,"area":null},{"id":"2506.00422","title":"DYNAC: Dynamic Vocabulary based Non-Autoregressive Contextualization for Speech Recognition","created":"2025-05-31","cited_by_count":2,"area":null},{"id":"2204.07556","title":"Streaming Align-Refine for Non-autoregressive Deliberation","created":"2022-04-15","cited_by_count":1,"area":null},{"id":"2402.08898","title":"UniEnc-CASSNAT: An Encoder-only Non-autoregressive ASR for Speech SSL Models","created":"2024-02-14","cited_by_count":1,"area":null},{"id":"2406.10034","title":"Towards Effective and Efficient Non-autoregressive Decoding Using Block-based Attention Mask","created":"2024-06-14","cited_by_count":1,"area":null},{"id":"2501.09104","title":"A Non-autoregressive Model for Joint STT and TTS","created":"2025-01-15","cited_by_count":1,"area":null},{"id":"2509.16622","title":"Audio-Conditioned Diffusion LLMs for ASR and Deliberation Processing","created":"2025-09-20","cited_by_count":1,"area":null},{"id":"2111.00844","title":"Exploring Non-Autoregressive End-To-End Neural Modeling For English Mispronunciation Detection And Diagnosis","created":"2021-11-01","cited_by_count":0,"area":null},{"id":"2204.00175","title":"Alternate Intermediate Conditioning with Syllable-level and Character-level Targets for Japanese ASR","created":"2022-04-01","cited_by_count":0,"area":null},{"id":"2312.09583","title":"Leveraging Language ID to Calculate Intermediate CTC Loss for Enhanced Code-Switching Speech Recognition","created":"2023-12-15","cited_by_count":0,"area":null},{"id":"2510.22172","title":"M-CIF: Multi-Scale Alignment For CIF-Based Non-Autoregressive ASR","created":"2025-10-25","cited_by_count":0,"area":null}],"next_cursor":null}