{"total":13,"rows":[{"id":"2102.12452","title":"Probing Classifiers: Promises, Shortcomings, and Advances","created":"2021-02-24","cited_by_count":876,"area":null},{"id":"2102.03216","title":"Intermediate Loss Regularization for CTC-based Speech Recognition","created":"2021-02-05","cited_by_count":96,"area":null},{"id":"2107.07029","title":"Leveraging Hierarchical Structures for Few-Shot Musical Instrument Recognition","created":"2021-07-14","cited_by_count":14,"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":"2209.04062","title":"Non-autoregressive Error Correction for CTC-based ASR with Phone-conditioned Masked LM","created":"2022-09-08","cited_by_count":6,"area":null},{"id":"2204.00176","title":"Better Intermediates Improve CTC Inference","created":"2022-04-01","cited_by_count":5,"area":null},{"id":"2412.09014","title":"Improvement in Sign Language Translation Using Text CTC Alignment","created":"2024-12-12","cited_by_count":5,"area":null},{"id":"2110.05172","title":"K-Wav2vec 2.0: Automatic Speech Recognition based on Joint Decoding of Graphemes and Syllables","created":"2021-10-11","cited_by_count":4,"area":null},{"id":"2205.12462","title":"Improving CTC-based ASR Models with Gated Interlayer Collaboration","created":"2022-05-25","cited_by_count":4,"area":null},{"id":"2112.06721","title":"PM-MMUT: Boosted Phone-Mask Data Augmentation using Multi-Modeling Unit Training for Phonetic-Reduction-Robust E2E Speech Recognition","created":"2021-12-13","cited_by_count":3,"area":null},{"id":"2206.11049","title":"Dynamic Restrained Uncertainty Weighting Loss for Multitask Learning of Vocal Expression","created":"2022-06-22","cited_by_count":2,"area":null},{"id":"2112.03032","title":"Transfer Learning in Conversational Analysis through Reusing Preprocessing Data as Supervisors","created":"2021-12-02","cited_by_count":0,"area":null},{"id":"2205.11998","title":"Multi-Level Modeling Units for End-to-End Mandarin Speech Recognition","created":"2022-05-24","cited_by_count":0,"area":null}],"next_cursor":null}