{"total":115,"rows":[{"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":"2101.00390","title":"VoxPopuli: A Large-Scale Multilingual Speech Corpus for Representation Learning, Semi-Supervised Learning and Interpretation","created":"2021-01-02","cited_by_count":463,"area":null},{"id":"2108.06209","title":"W2v-BERT: Combining Contrastive Learning and Masked Language Modeling for Self-Supervised Speech Pre-Training","created":"2021-08-07","cited_by_count":347,"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":"2303.14307","title":"Auto-AVSR: Audio-Visual Speech Recognition with Automatic Labels","created":"2023-03-25","cited_by_count":114,"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":"2202.12040","title":"Self-Training: A Survey","created":"2022-02-24","cited_by_count":86,"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":"2104.09376","title":"Scalable and Adaptive Graph Neural Networks with Self-Label-Enhanced training","created":"2021-04-19","cited_by_count":54,"area":null},{"id":"2204.02967","title":"Enhanced Direct Speech-to-Speech Translation Using Self-supervised Pre-training and Data Augmentation","created":"2022-04-06","cited_by_count":44,"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":"2110.04590","title":"An Exploration of Self-Supervised Pretrained Representations for End-to-End Speech Recognition","created":"2021-10-09","cited_by_count":39,"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":"2103.02093","title":"Pseudo-labeling for Scalable 3D Object Detection","created":"2021-03-02","cited_by_count":32,"area":null},{"id":"2108.06332","title":"FlipDA: Effective and Robust Data Augmentation for Few-Shot Learning","created":"2021-08-13","cited_by_count":32,"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":"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":"2202.12576","title":"A Survey of Multilingual Models for Automatic Speech Recognition","created":"2022-02-25","cited_by_count":21,"area":null},{"id":"2103.08454","title":"Margin Preserving Self-paced Contrastive Learning Towards Domain Adaptation for Medical Image Segmentation","created":"2021-03-15","cited_by_count":20,"area":null},{"id":"2203.16557","title":"COSMOS: Cross-Modality Unsupervised Domain Adaptation for 3D Medical Image Segmentation based on Target-aware Domain Translation and Iterative Self-Training","created":"2022-03-30","cited_by_count":20,"area":null},{"id":"2406.00919","title":"Advancing Weakly-Supervised Audio-Visual Video Parsing via Segment-wise Pseudo Labeling","created":"2024-06-03","cited_by_count":20,"area":null},{"id":"2201.08514","title":"How does unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis","created":"2022-01-21","cited_by_count":19,"area":null},{"id":"2303.02344","title":"Improving Audio-Visual Video Parsing with Pseudo Visual Labels","created":"2023-03-04","cited_by_count":18,"area":null},{"id":"2109.09161","title":"Wav-BERT: Cooperative Acoustic and Linguistic Representation Learning for Low-Resource Speech Recognition","created":"2021-09-19","cited_by_count":16,"area":null},{"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":"2206.02967","title":"Masked Unsupervised Self-training for Label-free Image Classification","created":"2022-06-07","cited_by_count":14,"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":"2104.07474","title":"EAT: Enhanced ASR-TTS for Self-supervised Speech Recognition","created":"2021-04-13","cited_by_count":13,"area":null},{"id":"2106.00609","title":"Robust Mutual Learning for Semi-supervised Semantic Segmentation","created":"2021-06-01","cited_by_count":13,"area":null},{"id":"2112.07194","title":"MDD-Eval: Self-Training on Augmented Data for Multi-Domain Dialogue Evaluation","created":"2021-12-14","cited_by_count":13,"area":null},{"id":"2109.06466","title":"Task-adaptive Pre-training and Self-training are Complementary for Natural Language Understanding","created":"2021-09-14","cited_by_count":12,"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":"2410.16726","title":"Enhancing Low-Resource ASR through Versatile TTS: Bridging the Data Gap","created":"2024-10-22","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":"2103.08207","title":"XLST: Cross-lingual Self-training to Learn Multilingual Representation for Low Resource Speech Recognition","created":"2021-03-15","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":"2104.01393","title":"On-the-Fly Aligned Data Augmentation for Sequence-to-Sequence ASR","created":"2021-04-03","cited_by_count":9,"area":null},{"id":"2306.15686","title":"Master-ASR: Achieving Multilingual Scalability and Low-Resource Adaptation in ASR with Modular Learning","created":"2023-06-23","cited_by_count":9,"area":null},{"id":"2401.05551","title":"Useful Blunders: Can Automated Speech Recognition Errors Improve Downstream Dementia Classification?","created":"2024-01-10","cited_by_count":9,"area":null},{"id":"2103.14583","title":"Leveraging pre-trained representations to improve access to untranscribed speech from endangered languages","created":"2021-03-26","cited_by_count":8,"area":null},{"id":"2104.05379","title":"Comparing the Benefit of Synthetic Training Data for Various Automatic Speech Recognition Architectures","created":"2021-04-12","cited_by_count":8,"area":null},{"id":"2104.08801","title":"Back-Training excels Self-Training at Unsupervised Domain Adaptation of Question Generation and Passage Retrieval","created":"2021-04-18","cited_by_count":8,"area":null},{"id":"2210.14514","title":"Improving Speech-to-Speech Translation Through Unlabeled Text","created":"2022-10-26","cited_by_count":8,"area":null},{"id":"2202.06045","title":"USTED: Improving ASR with a Unified Speech and Text Encoder-Decoder","created":"2022-02-12","cited_by_count":7,"area":null},{"id":"2210.13428","title":"PseudoAugment: Learning to Use Unlabeled Data for Data Augmentation in Point Clouds","created":"2022-10-24","cited_by_count":7,"area":null},{"id":"2301.00304","title":"Sample-Efficient Unsupervised Domain Adaptation of Speech Recognition Systems A case study for Modern Greek","created":"2022-12-31","cited_by_count":7,"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":"2108.08836","title":"Multi-Object Tracking with Hallucinated and Unlabeled Videos","created":"2021-08-19","cited_by_count":6,"area":null},{"id":"2308.06547","title":"Alternative Pseudo-Labeling for Semi-Supervised Automatic Speech Recognition","created":"2023-08-12","cited_by_count":6,"area":null},{"id":"2311.03611","title":"Plug-and-Play Stability for Intracortical Brain-Computer Interfaces: A One-Year Demonstration of Seamless Brain-to-Text Communication","created":"2023-11-06","cited_by_count":6,"area":null},{"id":"2110.08545","title":"A Unified Speaker Adaptation Approach for ASR","created":"2021-10-16","cited_by_count":5,"area":null},{"id":"2206.02797","title":"FedNST: Federated Noisy Student Training for Automatic Speech Recognition","created":"2022-06-06","cited_by_count":5,"area":null},{"id":"2210.12214","title":"Optimizing Bilingual Neural Transducer with Synthetic Code-switching Text Generation","created":"2022-10-21","cited_by_count":5,"area":null},{"id":"2305.12793","title":"Zero-Shot End-to-End Spoken Language Understanding via Cross-Modal Selective Self-Training","created":"2023-05-22","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":"2106.09963","title":"Low Resource German ASR with Untranscribed Data Spoken by Non-native Children -- INTERSPEECH 2021 Shared Task SPAPL System","created":"2021-06-18","cited_by_count":4,"area":null},{"id":"2310.08225","title":"Fast Word Error Rate Estimation Using Self-Supervised Representations for Speech and Text","created":"2023-10-12","cited_by_count":4,"area":null},{"id":"2311.02777","title":"Robust Generalization Strategies for Morpheme Glossing in an Endangered Language Documentation Context","created":"2023-11-05","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":"2402.03988","title":"REBORN: Reinforcement-Learned Boundary Segmentation with Iterative Training for Unsupervised ASR","created":"2024-02-06","cited_by_count":4,"area":null},{"id":"2404.07341","title":"Conformer-1: Robust ASR via Large-Scale Semisupervised Bootstrapping","created":"2024-04-10","cited_by_count":4,"area":null},{"id":"2406.15284","title":"The Greek podcast corpus: Competitive speech models for low-resourced languages with weakly supervised data","created":"2024-06-21","cited_by_count":4,"area":null},{"id":"2106.07716","title":"Overcoming Domain Mismatch in Low Resource Sequence-to-Sequence ASR Models using Hybrid Generated Pseudotranscripts","created":"2021-06-14","cited_by_count":3,"area":null},{"id":"2106.10989","title":"ImageNet Pre-training also Transfers Non-Robustness","created":"2021-06-21","cited_by_count":3,"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":"2202.12719","title":"Ask2Mask: Guided Data Selection for Masked Speech Modeling","created":"2022-02-24","cited_by_count":3,"area":null},{"id":"2205.12490","title":"Improve Event Extraction via Self-Training with Gradient Guidance","created":"2022-05-25","cited_by_count":3,"area":null},{"id":"2212.06828","title":"An Exploratory Study of AI System Risk Assessment from the Lens of Data Distribution and Uncertainty","created":"2022-12-13","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":"2305.17000","title":"DistriBlock: Identifying adversarial audio samples by leveraging characteristics of the output distribution","created":"2023-05-26","cited_by_count":3,"area":null},{"id":"2110.04863","title":"Injecting Text and Cross-lingual Supervision in Few-shot Learning from Self-Supervised Models","created":"2021-10-10","cited_by_count":2,"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":"2205.06963","title":"Improved Consistency Training for Semi-Supervised Sequence-to-Sequence ASR via Speech Chain Reconstruction and Self-Transcribing","created":"2022-05-14","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":"2301.02966","title":"SpeeChain: A Speech Toolkit for Large-Scale Machine Speech Chain","created":"2023-01-08","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":"2407.21061","title":"Improving noisy student training for low-resource languages in End-to-End ASR using CycleGAN and inter-domain losses","created":"2024-07-26","cited_by_count":2,"area":null},{"id":"2502.12672","title":"Speech-FT: Merging Pre-trained And Fine-Tuned Speech Representation Models For Cross-Task Generalization","created":"2025-02-18","cited_by_count":2,"area":null},{"id":"2510.24570","title":"BEST-RQ-Based Self-Supervised Learning for Whisper Domain Adaptation","created":"2025-10-28","cited_by_count":2,"area":null},{"id":"2105.03627","title":"Improving Cross-Lingual Reading Comprehension with Self-Training","created":"2021-05-08","cited_by_count":1,"area":null},{"id":"2207.14736","title":"Multiple-hypothesis RNN-T Loss for Unsupervised Fine-tuning and Self-training of Neural Transducer","created":"2022-07-29","cited_by_count":1,"area":null},{"id":"2212.12048","title":"Pushing the performances of ASR models on English and Spanish accents","created":"2022-12-22","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":"2305.13785","title":"Enhancing Black-Box Few-Shot Text Classification with Prompt-Based Data Augmentation","created":"2023-05-23","cited_by_count":1,"area":null},{"id":"2405.19426","title":"Deep Learning for Assessment of Oral Reading Fluency","created":"2024-05-29","cited_by_count":1,"area":null},{"id":"2601.01146","title":"Self-Training the Neurochaos Learning Algorithm","created":"2026-01-03","cited_by_count":1,"area":null},{"id":"2601.06802","title":"Doing More with Less: Data Augmentation for Sudanese Dialect Automatic Speech Recognition","created":"2026-01-11","cited_by_count":1,"area":null},{"id":"2602.12561","title":"PLLM: Pseudo-Labeling Large Language Models for CAD Program Synthesis","created":"2026-02-13","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":"2606.11429","title":"Gumbel-BEARD: Automatic Layer Selection for Self-Supervised Adaptation of Whisper in Low-Resource Domains","created":"2026-06-09","cited_by_count":1,"area":null},{"id":"2105.12939","title":"Unsupervised Adaptive Semantic Segmentation with Local Lipschitz Constraint","created":"2021-05-27","cited_by_count":0,"area":null},{"id":"2107.06155","title":"The IWSLT 2021 BUT Speech Translation Systems","created":"2021-07-13","cited_by_count":0,"area":null},{"id":"2210.02545","title":"JoeyS2T: Minimalistic Speech-to-Text Modeling with JoeyNMT","created":"2022-10-05","cited_by_count":0,"area":null}],"next_cursor":"100"}