{"total":39,"rows":[{"id":"2212.04356","title":"Robust Speech Recognition via Large-Scale Weak Supervision","created":"2022-12-06","cited_by_count":4057,"area":null},{"id":"2110.13900","title":"WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing","created":"2021-10-26","cited_by_count":1657,"area":null},{"id":"2205.10643","title":"Self-Supervised Speech Representation Learning: A Review","created":"2022-05-21","cited_by_count":260,"area":null},{"id":"2306.07303","title":"A Comprehensive Survey on Applications of Transformers for Deep Learning Tasks","created":"2023-06-11","cited_by_count":71,"area":null},{"id":"2304.14407","title":"ChatVideo: A Tracklet-centric Multimodal and Versatile Video Understanding System","created":"2023-04-27","cited_by_count":65,"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":"2303.11607","title":"Transformers in Speech Processing: A Survey","created":"2023-03-21","cited_by_count":39,"area":null},{"id":"2204.12765","title":"Why does Self-Supervised Learning for Speech Recognition Benefit Speaker Recognition?","created":"2022-04-27","cited_by_count":27,"area":null},{"id":"2210.08634","title":"SUPERB @ SLT 2022: Challenge on Generalization and Efficiency of Self-Supervised Speech Representation Learning","created":"2022-10-16","cited_by_count":26,"area":null},{"id":"2205.01818","title":"i-Code: An Integrative and Composable Multimodal Learning Framework","created":"2022-05-03","cited_by_count":24,"area":null},{"id":"2210.02592","title":"CCC-wav2vec 2.0: Clustering aided Cross Contrastive Self-supervised learning of speech representations","created":"2022-10-05","cited_by_count":11,"area":null},{"id":"2211.02542","title":"Self-Supervised Learning for Speech Enhancement through Synthesis","created":"2022-11-04","cited_by_count":10,"area":null},{"id":"2408.14886","title":"The VoxCeleb Speaker Recognition Challenge: A Retrospective","created":"2024-08-27","cited_by_count":9,"area":null},{"id":"2205.03759","title":"Silence is Sweeter Than Speech: Self-Supervised Model Using Silence to Store Speaker Information","created":"2022-05-08","cited_by_count":7,"area":null},{"id":"2310.13812","title":"Yet Another Model for Arabic Dialect Identification","created":"2023-10-20","cited_by_count":7,"area":null},{"id":"2603.10256","title":"ID-LoRA: Identity-Driven Audio-Video Personalization with In-Context LoRA","created":"2026-03-10","cited_by_count":5,"area":null},{"id":"2404.00076","title":"A Backdoor Approach with Inverted Labels Using Dirty Label-Flipping Attacks","created":"2024-03-29","cited_by_count":4,"area":null},{"id":"2403.00293","title":"Efficient Adapter Tuning of Pre-trained Speech Models for Automatic Speaker Verification","created":"2024-03-01","cited_by_count":3,"area":null},{"id":"2407.21066","title":"ELP-Adapters: Parameter Efficient Adapter Tuning for Various Speech Processing Tasks","created":"2024-07-28","cited_by_count":3,"area":null},{"id":"2209.13523","title":"Watch What You Pretrain For: Targeted, Transferable Adversarial Examples on Self-Supervised Speech Recognition models","created":"2022-09-17","cited_by_count":2,"area":null},{"id":"2204.01677","title":"Self-Supervised Speech Representations Preserve Speech Characteristics while Anonymizing Voices","created":"2022-04-04","cited_by_count":1,"area":null},{"id":"2408.06922","title":"Temporal Variability and Multi-Viewed Self-Supervised Representations to Tackle the ASVspoof5 Deepfake Challenge","created":"2024-08-13","cited_by_count":1,"area":null},{"id":"2410.11086","title":"JOOCI: a Framework for Learning Comprehensive Speech Representations","created":"2024-10-14","cited_by_count":1,"area":null},{"id":"2410.13385","title":"On the Use of Audio to Improve Dialogue Policies","created":"2024-10-17","cited_by_count":1,"area":null},{"id":"2411.03085","title":"Speech Separation with Pretrained Frontend to Minimize Domain Mismatch","created":"2024-11-05","cited_by_count":1,"area":null},{"id":"2501.16542","title":"UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker Verification","created":"2025-01-27","cited_by_count":1,"area":null},{"id":"2511.21704","title":"On the Cross-lingual Transferability of Pre-trained wav2vec2-based Models","created":"2025-11-16","cited_by_count":1,"area":null},{"id":"2602.06647","title":"Reading Between the Waves: Robust Topic Segmentation Using Inter-Sentence Audio Features","created":"2026-02-06","cited_by_count":1,"area":null},{"id":"2303.04255","title":"Self-supervised speech representation learning for keyword-spotting with light-weight transformers","created":"2023-03-07","cited_by_count":0,"area":null},{"id":"2408.10557","title":"Speech Representation Learning Revisited: The Necessity of Separate Learnable Parameters and Robust Data Augmentation","created":"2024-08-20","cited_by_count":0,"area":null},{"id":"2409.14131","title":"Are Music Foundation Models Better at Singing Voice Deepfake Detection? Far-Better Fuse them with Speech Foundation Models","created":"2024-09-21","cited_by_count":0,"area":null},{"id":"2410.23955","title":"An Empirical Analysis of Speech Self-Supervised Learning at Multiple Resolutions","created":"2024-10-31","cited_by_count":0,"area":null},{"id":"2504.02302","title":"Causal Self-supervised Pretrained Frontend with Predictive Code for Speech Separation","created":"2025-04-03","cited_by_count":0,"area":null},{"id":"2506.01365","title":"Attention Is Not Always the Answer: Optimizing Voice Activity Detection with Simple Feature Fusion","created":"2025-06-02","cited_by_count":0,"area":null},{"id":"2508.20983","title":"Multilingual Dataset Integration Strategies for Robust Audio Deepfake Detection: A SAFE Challenge System","created":"2025-08-28","cited_by_count":0,"area":null},{"id":"2603.01482","title":"A SUPERB-Style Benchmark of Self-Supervised Speech Models for Audio Deepfake Detection","created":"2026-03-02","cited_by_count":0,"area":null},{"id":"2604.01562","title":"Acoustic and perceptual differences between standard and accented speech and their voice clones","created":"2026-04-02","cited_by_count":0,"area":null},{"id":"2609.36500","title":"InterBias-SV: Compound Conditions in Speaker Verification","created":"2026-09-29","cited_by_count":0,"area":null},{"id":"2610.04690","title":"SepRQ : Self-Supervised Speech Mixture Representation Learning via Mask-Free, Multi-Scale Source Separation","created":"2026-10-03","cited_by_count":0,"area":null}],"next_cursor":null}