{"total":83,"rows":[{"id":"2104.14294","title":"Emerging Properties in Self-Supervised Vision Transformers","created":"2021-04-29","cited_by_count":6968,"area":null},{"id":"2106.07447","title":"HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units","created":"2021-06-14","cited_by_count":2342,"area":null},{"id":"2202.03555","title":"data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language","created":"2022-02-07","cited_by_count":727,"area":null},{"id":"2205.10643","title":"Self-Supervised Speech Representation Learning: A Review","created":"2022-05-21","cited_by_count":260,"area":null},{"id":"2303.01037","title":"Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages","created":"2023-03-02","cited_by_count":231,"area":null},{"id":"2105.11084","title":"Unsupervised Speech Recognition","created":"2021-05-24","cited_by_count":148,"area":null},{"id":"2109.13226","title":"BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition","created":"2021-09-27","cited_by_count":88,"area":null},{"id":"2109.11680","title":"Simple and Effective Zero-shot Cross-lingual Phoneme Recognition","created":"2021-09-23","cited_by_count":79,"area":null},{"id":"2109.06870","title":"Performance-Efficiency Trade-offs in Unsupervised Pre-training for Speech Recognition","created":"2021-09-14","cited_by_count":68,"area":null},{"id":"2204.05409","title":"Unified Speech-Text Pre-training for Speech Translation and Recognition","created":"2022-04-11","cited_by_count":64,"area":null},{"id":"2106.07807","title":"Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data","created":"2021-06-14","cited_by_count":50,"area":null},{"id":"2111.03945","title":"Towards Building ASR Systems for the Next Billion Users","created":"2021-11-06","cited_by_count":47,"area":null},{"id":"2204.02492","title":"Towards End-to-end Unsupervised Speech Recognition","created":"2022-04-05","cited_by_count":45,"area":null},{"id":"2106.08922","title":"Momentum Pseudo-Labeling for Semi-Supervised Speech Recognition","created":"2021-06-16","cited_by_count":40,"area":null},{"id":"2404.09385","title":"A Large-Scale Evaluation of Speech Foundation Models","created":"2024-04-15","cited_by_count":40,"area":null},{"id":"2104.06678","title":"Large-Scale Self- and Semi-Supervised Learning for Speech Translation","created":"2021-04-14","cited_by_count":36,"area":null},{"id":"2406.11546","title":"GigaSpeech 2: An Evolving, Large-Scale and Multi-domain ASR Corpus for Low-Resource Languages with Automated Crawling, Transcription and Refinement","created":"2024-06-17","cited_by_count":34,"area":null},{"id":"2305.10951","title":"Making More of Little Data: Improving Low-Resource Automatic Speech Recognition Using Data Augmentation","created":"2023-05-18","cited_by_count":31,"area":null},{"id":"2111.00161","title":"Pseudo-Labeling for Massively Multilingual Speech Recognition","created":"2021-10-30","cited_by_count":24,"area":null},{"id":"2307.13813","title":"How to Scale Your EMA","created":"2023-07-25","cited_by_count":24,"area":null},{"id":"2106.07759","title":"Kaizen: Continuously improving teacher using Exponential Moving Average for semi-supervised speech recognition","created":"2021-06-14","cited_by_count":21,"area":null},{"id":"2107.04082","title":"Improved Language Identification Through Cross-Lingual Self-Supervised Learning","created":"2021-07-08","cited_by_count":20,"area":null},{"id":"2202.08862","title":"RemixIT: Continual self-training of speech enhancement models via bootstrapped remixing","created":"2022-02-17","cited_by_count":20,"area":null},{"id":"2201.10207","title":"SPIRAL: Self-supervised Perturbation-Invariant Representation Learning for Speech Pre-Training","created":"2022-01-25","cited_by_count":19,"area":"distill"},{"id":"2411.02256","title":"Unified Speech Recognition: A Single Model for Auditory, Visual, and Audiovisual Inputs","created":"2024-11-04","cited_by_count":15,"area":null},{"id":"2206.10125","title":"Supervision-Guided Codebooks for Masked Prediction in Speech Pre-training","created":"2022-06-21","cited_by_count":14,"area":null},{"id":"2110.03560","title":"Magic dust for cross-lingual adaptation of monolingual wav2vec-2.0","created":"2021-10-07","cited_by_count":12,"area":null},{"id":"2112.07648","title":"On the Use of External Data for Spoken Named Entity Recognition","created":"2021-12-14","cited_by_count":12,"area":null},{"id":"2103.05149","title":"Contrastive Semi-supervised Learning for ASR","created":"2021-03-09","cited_by_count":11,"area":null},{"id":"2210.08711","title":"Continuous Pseudo-Labeling from the Start","created":"2022-10-17","cited_by_count":11,"area":null},{"id":"2108.00084","title":"The History of Speech Recognition to the Year 2030","created":"2021-07-30","cited_by_count":10,"area":null},{"id":"2203.15937","title":"Improving Mispronunciation Detection with Wav2vec2-based Momentum Pseudo-Labeling for Accentedness and Intelligibility Assessment","created":"2022-03-29","cited_by_count":10,"area":null},{"id":"2206.09783","title":"Boosting Cross-Domain Speech Recognition with Self-Supervision","created":"2022-06-20","cited_by_count":10,"area":null},{"id":"2303.10917","title":"Knowledge Distillation from Multiple Foundation Models for End-to-End Speech Recognition","created":"2023-03-20","cited_by_count":8,"area":"distill"},{"id":"2308.11239","title":"LOCATE: Self-supervised Object Discovery via Flow-guided Graph-cut and Bootstrapped Self-training","created":"2023-08-22","cited_by_count":8,"area":null},{"id":"2308.05269","title":"A Novel Self-training Approach for Low-resource Speech Recognition","created":"2023-08-10","cited_by_count":7,"area":null},{"id":"2110.10103","title":"Continual self-training with bootstrapped remixing for speech enhancement","created":"2021-10-19","cited_by_count":6,"area":null},{"id":"2206.09102","title":"Decoupled Federated Learning for ASR with Non-IID Data","created":"2022-06-18","cited_by_count":6,"area":null},{"id":"2210.15398","title":"Make More of Your Data: Minimal Effort Data Augmentation for Automatic Speech Recognition and Translation","created":"2022-10-27","cited_by_count":6,"area":null},{"id":"2211.06007","title":"Continuous Soft Pseudo-Labeling in ASR","created":"2022-11-11","cited_by_count":6,"area":"distill"},{"id":"2308.06547","title":"Alternative Pseudo-Labeling for Semi-Supervised Automatic Speech Recognition","created":"2023-08-12","cited_by_count":6,"area":null},{"id":"2506.11089","title":"Better Pseudo-labeling with Multi-ASR Fusion and Error Correction by SpeechLLM","created":"2025-06-05","cited_by_count":6,"area":null},{"id":"2209.12043","title":"Unsupervised domain adaptation for speech recognition with unsupervised error correction","created":"2022-09-24","cited_by_count":5,"area":null},{"id":"2211.17196","title":"EURO: ESPnet Unsupervised ASR Open-source Toolkit","created":"2022-11-30","cited_by_count":5,"area":null},{"id":"2309.17395","title":"AV-CPL: Continuous Pseudo-Labeling for Audio-Visual Speech Recognition","created":"2023-09-29","cited_by_count":5,"area":null},{"id":"2405.15216","title":"Revisiting ASR Error Correction with Specialized Models","created":"2024-05-24","cited_by_count":5,"area":null},{"id":"2407.10603","title":"Leave No Knowledge Behind During Knowledge Distillation: Towards Practical and Effective Knowledge Distillation for Code-Switching ASR Using Realistic Data","created":"2024-07-15","cited_by_count":5,"area":"distill"},{"id":"2408.14026","title":"Empowering Low-Resource Language ASR via Large-Scale Pseudo Labeling","created":"2024-08-26","cited_by_count":5,"area":null},{"id":"2210.16318","title":"Filter and evolve: progressive pseudo label refining for semi-supervised automatic speech recognition","created":"2022-10-28","cited_by_count":4,"area":null},{"id":"2311.03196","title":"Pseudo-Labeling for Domain-Agnostic Bangla Automatic Speech Recognition","created":"2023-11-06","cited_by_count":4,"area":null},{"id":"2402.04805","title":"Progressive unsupervised domain adaptation for ASR using ensemble models and multi-stage training","created":"2024-02-07","cited_by_count":4,"area":"distill"},{"id":"2407.08460","title":"Semi-Supervised Object Detection: A Survey on Progress from CNN to Transformer","created":"2024-07-11","cited_by_count":4,"area":null},{"id":"2110.04056","title":"Improving Pseudo-label Training For End-to-end Speech Recognition Using Gradient Mask","created":"2021-10-08","cited_by_count":3,"area":null},{"id":"2112.12572","title":"Are E2E ASR models ready for an industrial usage?","created":"2021-12-09","cited_by_count":3,"area":null},{"id":"2212.09982","title":"Joint Speech Transcription and Translation: Pseudo-Labeling with Out-of-Distribution Data","created":"2022-12-20","cited_by_count":3,"area":null},{"id":"2408.05554","title":"Improving Whisper's Recognition Performance for Under-Represented Language Kazakh Leveraging Unpaired Speech and Text","created":"2024-08-10","cited_by_count":3,"area":null},{"id":"2110.05994","title":"Word Order Does Not Matter For Speech Recognition","created":"2021-10-12","cited_by_count":2,"area":null},{"id":"2211.00854","title":"More Speaking or More Speakers?","created":"2022-11-02","cited_by_count":2,"area":null},{"id":"2305.13652","title":"Cross-lingual Knowledge Transfer and Iterative Pseudo-labeling for Low-Resource Speech Recognition with Transducers","created":"2023-05-23","cited_by_count":2,"area":null},{"id":"2406.18108","title":"Token-Weighted RNN-T for Learning from Flawed Data","created":"2024-06-26","cited_by_count":2,"area":null},{"id":"2506.04981","title":"Better Semi-supervised Learning for Multi-domain ASR Through Incremental Retraining and Data Filtering","created":"2025-06-05","cited_by_count":2,"area":null},{"id":"2204.02023","title":"A Complementary Joint Training Approach Using Unpaired Speech and Text for Low-Resource Automatic Speech Recognition","created":"2022-04-05","cited_by_count":1,"area":null},{"id":"2301.00656","title":"TriNet: stabilizing self-supervised learning from complete or slow collapse on ASR","created":"2022-12-12","cited_by_count":1,"area":null},{"id":"2404.08368","title":"Automatic Speech Recognition Advancements for Indigenous Languages of the Americas","created":"2024-04-12","cited_by_count":1,"area":null},{"id":"2501.05234","title":"Optimizing Estonian TV Subtitles with Semi-supervised Learning and LLMs","created":"2025-01-09","cited_by_count":1,"area":null},{"id":"2507.08477","title":"ILT-Iterative LoRA Training through Focus-Feedback-Fix for Multilingual Speech Recognition","created":"2025-07-11","cited_by_count":1,"area":null},{"id":"2508.04814","title":"Pitch Accent Detection improves Pretrained Automatic Speech Recognition","created":"2025-08-06","cited_by_count":1,"area":null},{"id":"2602.18721","title":"ReHear: Iterative Pseudo-Label Refinement for Semi-Supervised Speech Recognition via Audio Large Language Models","created":"2026-02-21","cited_by_count":1,"area":null},{"id":"2602.19316","title":"Pay Attention to CTC: Fast and Robust Pseudo-Labelling for Unified Speech Recognition","created":"2026-02-22","cited_by_count":1,"area":null},{"id":"2605.09167","title":"WorldSpeech: A Multilingual Speech Corpus from Around the World","created":"2026-05-09","cited_by_count":1,"area":null},{"id":"2207.07273","title":"Direction-Aware Joint Adaptation of Neural Speech Enhancement and Recognition in Real Multiparty Conversational Environments","created":"2022-07-15","cited_by_count":0,"area":null},{"id":"2211.00795","title":"InterMPL: Momentum Pseudo-Labeling with Intermediate CTC Loss","created":"2022-11-02","cited_by_count":0,"area":null},{"id":"2302.03498","title":"MAC: A unified framework boosting low resource automatic speech recognition","created":"2023-02-05","cited_by_count":0,"area":null},{"id":"2305.13330","title":"Unsupervised ASR via Cross-Lingual Pseudo-Labeling","created":"2023-05-19","cited_by_count":0,"area":null},{"id":"2305.18430","title":"Scalable and Weakly Supervised Bank Transaction Classification","created":"2023-05-28","cited_by_count":0,"area":null},{"id":"2309.07765","title":"Echotune: A Modular Extractor Leveraging the Variable-Length Nature of Speech in ASR Tasks","created":"2023-09-14","cited_by_count":0,"area":null},{"id":"2404.03073","title":"Mai Ho'om\\=auna i ka 'Ai: Language Models Improve Automatic Speech Recognition in Hawaiian","created":"2024-04-03","cited_by_count":0,"area":null},{"id":"2509.15430","title":"BiRQ: Bi-Level Self-Labeling Random Quantization for Self-Supervised Speech Recognition","created":"2025-09-18","cited_by_count":0,"area":null},{"id":"2607.05226","title":"The Exact Worst-Case Tail Probability under Bounded Kurtosis","created":"2026-07-06","cited_by_count":0,"area":null},{"id":"2608.13717","title":"StreamHear: Domain-Adapted Pseudo-Labeling for Semi-Supervised Streaming Speech Recognition","created":"2026-08-13","cited_by_count":0,"area":null},{"id":"2608.15910","title":"Iterative Self-Learning for Expressive Text-to-Speech Synthesis","created":"2026-08-16","cited_by_count":0,"area":null},{"id":"2609.25471","title":"A Practical Recipe for Semi-Supervised Federated ASR: Online Pseudo-Labels with Server Update Stabilization","created":"2026-09-21","cited_by_count":0,"area":null},{"id":"2609.30469","title":"Pretrained ASR Pseudo-labeling for Noisy Police Audio","created":"2026-09-24","cited_by_count":0,"area":null}],"next_cursor":null}