{"total":26,"rows":[{"id":"2209.03143","title":"AudioLM: a Language Modeling Approach to Audio Generation","created":"2022-09-07","cited_by_count":616,"area":null},{"id":"2205.10643","title":"Self-Supervised Speech Representation Learning: A Review","created":"2022-05-21","cited_by_count":260,"area":null},{"id":"2305.13009","title":"Textually Pretrained Speech Language Models","created":"2023-05-22","cited_by_count":101,"area":null},{"id":"2307.00162","title":"What Do Self-Supervised Speech Models Know About Words?","created":"2023-06-30","cited_by_count":64,"area":null},{"id":"2210.15759","title":"Self-supervised language learning from raw audio: Lessons from the Zero Resource Speech Challenge","created":"2022-10-27","cited_by_count":34,"area":null},{"id":"2202.07359","title":"textless-lib: a Library for Textless Spoken Language Processing","created":"2022-02-15","cited_by_count":28,"area":null},{"id":"2202.03543","title":"Self-Supervised Representation Learning for Speech Using Visual Grounding and Masked Language Modeling","created":"2022-02-07","cited_by_count":25,"area":null},{"id":"2202.11929","title":"Word Segmentation on Discovered Phone Units with Dynamic Programming and Self-Supervised Scoring","created":"2022-02-24","cited_by_count":24,"area":null},{"id":"2203.05936","title":"Are discrete units necessary for Spoken Language Modeling?","created":"2022-03-11","cited_by_count":24,"area":null},{"id":"2109.08186","title":"Fast-Slow Transformer for Visually Grounding Speech","created":"2021-09-16","cited_by_count":23,"area":null},{"id":"2305.12464","title":"Self-supervised Predictive Coding Models Encode Speaker and Phonetic Information in Orthogonal Subspaces","created":"2023-05-21","cited_by_count":20,"area":null},{"id":"2210.15386","title":"Opening the Black Box of wav2vec Feature Encoder","created":"2022-10-27","cited_by_count":18,"area":null},{"id":"2111.02674","title":"Voice Conversion Can Improve ASR in Very Low-Resource Settings","created":"2021-11-04","cited_by_count":14,"area":null},{"id":"2305.19563","title":"Zero-Shot Automatic Pronunciation Assessment","created":"2023-05-31","cited_by_count":5,"area":null},{"id":"2508.08110","title":"Iterative refinement, not training objective, makes HuBERT behave differently from wav2vec 2.0","created":"2025-08-11","cited_by_count":4,"area":null},{"id":"2505.19273","title":"Eta-WavLM: Efficient Speaker Identity Removal in Self-Supervised Speech Representations Using a Simple Linear Equation","created":"2025-05-25","cited_by_count":3,"area":null},{"id":"2206.10188","title":"Analysis of Self-Supervised Learning and Dimensionality Reduction Methods in Clustering-Based Active Learning for Speech Emotion Recognition","created":"2022-06-21","cited_by_count":2,"area":null},{"id":"2510.02569","title":"Transcribe, Translate, or Transliterate: An Investigation of Intermediate Representations in Spoken Language Models","created":"2025-10-02","cited_by_count":2,"area":null},{"id":"2604.22631","title":"Identifying and typifying demographic unfairness in phoneme-level embeddings of self-supervised speech recognition models","created":"2026-04-24","cited_by_count":2,"area":null},{"id":"2305.09167","title":"Adversarial Speaker Disentanglement Using Unannotated External Data for Self-supervised Representation Based Voice Conversion","created":"2023-05-16","cited_by_count":1,"area":null},{"id":"2307.07325","title":"Representation Learning With Hidden Unit Clustering For Low Resource Speech Applications","created":"2023-07-14","cited_by_count":1,"area":null},{"id":"2402.01298","title":"Learning Semantic Information from Raw Audio Signal Using Both Contextual and Phonetic Representations","created":"2024-02-02","cited_by_count":0,"area":null},{"id":"2409.19015","title":"Textless NLP -- Zero Resource Challenge with Low Resource Compute","created":"2024-09-24","cited_by_count":0,"area":null},{"id":"2607.04064","title":"Speaker-Disentangled Chunk-Wise Regression for Syllabic Tokenization","created":"2026-07-05","cited_by_count":0,"area":null},{"id":"2608.19084","title":"Cluster Assignments in Soft Targets Shape Speech Representations: Evidence from S-JEPA","created":"2026-08-19","cited_by_count":0,"area":null},{"id":"2609.10434","title":"Do speech foundation models really learn words?","created":"2026-09-09","cited_by_count":0,"area":null}],"next_cursor":null}