{"total":245,"rows":[{"id":"2211.03929","title":"Comparative layer-wise analysis of self-supervised speech models","created":"2022-11-08","cited_by_count":158,"area":null},{"id":"2504.08528","title":"On The Landscape of Spoken Language Models: A Comprehensive Survey","created":"2025-04-11","cited_by_count":118,"area":null},{"id":"2309.09510","title":"Dynamic-SUPERB: Towards A Dynamic, Collaborative, and Comprehensive Instruction-Tuning Benchmark for Speech","created":"2023-09-18","cited_by_count":101,"area":null},{"id":"2306.10125","title":"Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects","created":"2023-06-16","cited_by_count":99,"area":null},{"id":"2308.16692","title":"SpeechTokenizer: Unified Speech Tokenizer for Speech Large Language Models","created":"2023-08-31","cited_by_count":87,"area":null},{"id":"2410.03751","title":"Recent Advances in Speech Language Models: A Survey","created":"2024-10-01","cited_by_count":87,"area":null},{"id":"2405.02771","title":"MMEarth: Exploring Multi-Modal Pretext Tasks For Geospatial Representation Learning","created":"2024-05-04","cited_by_count":77,"area":null},{"id":"2402.08093","title":"BASE TTS: Lessons from building a billion-parameter Text-to-Speech model on 100K hours of data","created":"2024-02-12","cited_by_count":75,"area":null},{"id":"2305.10615","title":"ML-SUPERB: Multilingual Speech Universal PERformance Benchmark","created":"2023-05-18","cited_by_count":71,"area":null},{"id":"2501.01108","title":"MuQ: Self-Supervised Music Representation Learning with Mel Residual Vector Quantization","created":"2025-01-02","cited_by_count":68,"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":"2406.06185","title":"EARS: An Anechoic Fullband Speech Dataset Benchmarked for Speech Enhancement and Dereverberation","created":"2024-06-10","cited_by_count":64,"area":null},{"id":"2406.00899","title":"YODAS: Youtube-Oriented Dataset for Audio and Speech","created":"2024-06-02","cited_by_count":60,"area":null},{"id":"2212.08071","title":"MAViL: Masked Audio-Video Learners","created":"2022-12-15","cited_by_count":59,"area":null},{"id":"2304.10909","title":"Automated Medical Coding on MIMIC-III and MIMIC-IV: A Critical Review and Replicability Study","created":"2023-04-21","cited_by_count":49,"area":null},{"id":"2212.06246","title":"Jointly Learning Visual and Auditory Speech Representations from Raw Data","created":"2022-12-12","cited_by_count":47,"area":null},{"id":"2402.12786","title":"Advancing Large Language Models to Capture Varied Speaking Styles and Respond Properly in Spoken Conversations","created":"2024-02-20","cited_by_count":45,"area":null},{"id":"2502.06490","title":"Recent Advances in Discrete Speech Tokens: A Review","created":"2025-02-10","cited_by_count":43,"area":null},{"id":"2210.07185","title":"On the Utility of Self-supervised Models for Prosody-related Tasks","created":"2022-10-13","cited_by_count":42,"area":null},{"id":"2309.13876","title":"Reproducing Whisper-Style Training Using an Open-Source Toolkit and Publicly Available Data","created":"2023-09-25","cited_by_count":42,"area":null},{"id":"2211.11275","title":"VATLM: Visual-Audio-Text Pre-Training with Unified Masked Prediction for Speech Representation Learning","created":"2022-11-21","cited_by_count":37,"area":null},{"id":"2305.17651","title":"DPHuBERT: Joint Distillation and Pruning of Self-Supervised Speech Models","created":"2023-05-28","cited_by_count":36,"area":null},{"id":"2212.10525","title":"SLUE Phase-2: A Benchmark Suite of Diverse Spoken Language Understanding Tasks","created":"2022-12-20","cited_by_count":35,"area":null},{"id":"2303.00733","title":"SpeechPrompt v2: Prompt Tuning for Speech Classification Tasks","created":"2023-03-01","cited_by_count":32,"area":null},{"id":"2210.11723","title":"Evidence of Vocal Tract Articulation in Self-Supervised Learning of Speech","created":"2022-10-21","cited_by_count":31,"area":null},{"id":"2302.14132","title":"Structured Pruning of Self-Supervised Pre-trained Models for Speech Recognition and Understanding","created":"2023-02-27","cited_by_count":31,"area":null},{"id":"2210.00705","title":"SpeechCLIP: Integrating Speech with Pre-Trained Vision and Language Model","created":"2022-10-03","cited_by_count":29,"area":null},{"id":"2306.01506","title":"BabySLM: language-acquisition-friendly benchmark of self-supervised spoken language models","created":"2023-06-02","cited_by_count":29,"area":null},{"id":"2406.10507","title":"Benchmarking Children's ASR with Supervised and Self-supervised Speech Foundation Models","created":"2024-06-15","cited_by_count":29,"area":null},{"id":"2306.00452","title":"Speech Self-Supervised Representation Benchmarking: Are We Doing it Right?","created":"2023-06-01","cited_by_count":28,"area":null},{"id":"2210.06175","title":"Exploring Efficient-tuning Methods in Self-supervised Speech Models","created":"2022-10-10","cited_by_count":26,"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":"2305.11072","title":"Self-supervised Fine-tuning for Improved Content Representations by Speaker-invariant Clustering","created":"2023-05-18","cited_by_count":22,"area":null},{"id":"2312.14069","title":"EmphAssess : a Prosodic Benchmark on Assessing Emphasis Transfer in Speech-to-Speech Models","created":"2023-12-21","cited_by_count":22,"area":null},{"id":"2411.16765","title":"SHuBERT: Self-Supervised Sign Language Representation Learning via Multi-Stream Cluster Prediction","created":"2024-11-25","cited_by_count":22,"area":null},{"id":"2306.02207","title":"SpeechGen: Unlocking the Generative Power of Speech Language Models with Prompts","created":"2023-06-03","cited_by_count":21,"area":null},{"id":"2306.06672","title":"Reducing Barriers to Self-Supervised Learning: HuBERT Pre-training with Academic Compute","created":"2023-06-11","cited_by_count":21,"area":null},{"id":"2409.09272","title":"SafeEar: Content Privacy-Preserving Audio Deepfake Detection","created":"2024-09-14","cited_by_count":21,"area":null},{"id":"2410.07168","title":"Sylber: Syllabic Embedding Representation of Speech from Raw Audio","created":"2024-10-09","cited_by_count":19,"area":null},{"id":"2309.05472","title":"LeBenchmark 2.0: a Standardized, Replicable and Enhanced Framework for Self-supervised Representations of French Speech","created":"2023-09-11","cited_by_count":18,"area":null},{"id":"2308.14456","title":"Speech Self-Supervised Representations Benchmarking: a Case for Larger Probing Heads","created":"2023-08-28","cited_by_count":17,"area":null},{"id":"2406.04997","title":"On the social bias of speech self-supervised models","created":"2024-06-07","cited_by_count":16,"area":null},{"id":"2306.01385","title":"Task-Agnostic Structured Pruning of Speech Representation Models","created":"2023-06-02","cited_by_count":15,"area":null},{"id":"2306.02405","title":"An Information-Theoretic Analysis of Self-supervised Discrete Representations of Speech","created":"2023-06-04","cited_by_count":15,"area":null},{"id":"2308.12370","title":"AdVerb: Visually Guided Audio Dereverberation","created":"2023-08-23","cited_by_count":15,"area":null},{"id":"2308.01578","title":"Unsupervised Representation Learning for Time Series: A Review","created":"2023-08-03","cited_by_count":14,"area":null},{"id":"2404.09841","title":"Anatomy of Industrial Scale Multilingual ASR","created":"2024-04-15","cited_by_count":14,"area":null},{"id":"2212.01282","title":"CHAPTER: Exploiting Convolutional Neural Network Adapters for Self-supervised Speech Models","created":"2022-12-01","cited_by_count":13,"area":null},{"id":"2408.16221","title":"SSDM: Scalable Speech Dysfluency Modeling","created":"2024-08-29","cited_by_count":13,"area":null},{"id":"2408.13040","title":"SpeechPrompt: Prompting Speech Language Models for Speech Processing Tasks","created":"2024-08-23","cited_by_count":12,"area":null},{"id":"2305.11435","title":"Syllable Discovery and Cross-Lingual Generalization in a Visually Grounded, Self-Supervised Speech Model","created":"2023-05-19","cited_by_count":11,"area":null},{"id":"2305.17733","title":"Investigating Pre-trained Audio Encoders in the Low-Resource Condition","created":"2023-05-28","cited_by_count":11,"area":null},{"id":"2401.17632","title":"What Do Self-Supervised Speech and Speaker Models Learn? New Findings From a Cross Model Layer-Wise Analysis","created":"2024-01-31","cited_by_count":11,"area":null},{"id":"2210.08759","title":"Towards Relation Extraction From Speech","created":"2022-10-17","cited_by_count":10,"area":null},{"id":"2310.05513","title":"Findings of the 2023 ML-SUPERB Challenge: Pre-Training and Evaluation over More Languages and Beyond","created":"2023-10-09","cited_by_count":10,"area":null},{"id":"2306.08374","title":"SpeechGLUE: How Well Can Self-Supervised Speech Models Capture Linguistic Knowledge?","created":"2023-06-14","cited_by_count":9,"area":null},{"id":"2309.00424","title":"Learning Speech Representation From Contrastive Token-Acoustic Pretraining","created":"2023-09-01","cited_by_count":9,"area":null},{"id":"2309.07707","title":"CoLLD: Contrastive Layer-to-layer Distillation for Compressing Multilingual Pre-trained Speech Encoders","created":"2023-09-14","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":"2405.04296","title":"Open Implementation and Study of BEST-RQ for Speech Processing","created":"2024-05-07","cited_by_count":9,"area":null},{"id":"2406.10083","title":"On the Evaluation of Speech Foundation Models for Spoken Language Understanding","created":"2024-06-14","cited_by_count":9,"area":null},{"id":"2407.13782","title":"Self-supervised ASR Models and Features For Dysarthric and Elderly Speech Recognition","created":"2024-07-03","cited_by_count":9,"area":null},{"id":"2410.24177","title":"DC-Spin: A Speaker-invariant Speech Tokenizer for Spoken Language Models","created":"2024-10-31","cited_by_count":9,"area":null},{"id":"2501.05987","title":"Comparing Self-Supervised Learning Models Pre-Trained on Human Speech and Animal Vocalizations for Bioacoustics Processing","created":"2025-01-10","cited_by_count":9,"area":null},{"id":"2305.19011","title":"MiniSUPERB: Lightweight Benchmark for Self-supervised Speech Models","created":"2023-05-30","cited_by_count":8,"area":null},{"id":"2309.15317","title":"Joint Prediction and Denoising for Large-scale Multilingual Self-supervised Learning","created":"2023-09-26","cited_by_count":8,"area":null},{"id":"2312.09578","title":"Self-Supervised Learning for Anomalous Sound Detection","created":"2023-12-15","cited_by_count":8,"area":null},{"id":"2410.00025","title":"Improving Spoken Language Modeling with Phoneme Classification: A Simple Fine-tuning Approach","created":"2024-09-16","cited_by_count":8,"area":null},{"id":"2512.20308","title":"SpidR: Learning Fast and Stable Linguistic Units for Spoken Language Models Without Supervision","created":"2025-12-23","cited_by_count":8,"area":null},{"id":"2210.07978","title":"Improving generalizability of distilled self-supervised speech processing models under distorted settings","created":"2022-10-14","cited_by_count":7,"area":null},{"id":"2212.08542","title":"Context-aware Fine-tuning of Self-supervised Speech Models","created":"2022-12-16","cited_by_count":7,"area":null},{"id":"2309.15292","title":"Scaling Representation Learning from Ubiquitous ECG with State-Space Models","created":"2023-09-26","cited_by_count":7,"area":null},{"id":"2310.13974","title":"Automatic Pronunciation Assessment -- A Review","created":"2023-10-21","cited_by_count":7,"area":null},{"id":"2311.09117","title":"R-Spin: Efficient Speaker and Noise-invariant Representation Learning with Acoustic Pieces","created":"2023-11-15","cited_by_count":7,"area":null},{"id":"2406.10052","title":"Simul-Whisper: Attention-Guided Streaming Whisper with Truncation Detection","created":"2024-06-14","cited_by_count":7,"area":null},{"id":"2408.05758","title":"VQ-CTAP: Cross-Modal Fine-Grained Sequence Representation Learning for Speech Processing","created":"2024-08-11","cited_by_count":7,"area":null},{"id":"2505.02692","title":"fastabx: A library for efficient computation of ABX discriminability","created":"2025-05-05","cited_by_count":7,"area":null},{"id":"2305.18096","title":"Improving Textless Spoken Language Understanding with Discrete Units as Intermediate Target","created":"2023-05-29","cited_by_count":6,"area":null},{"id":"2307.06040","title":"Rhythm Modeling for Voice Conversion","created":"2023-07-12","cited_by_count":6,"area":null},{"id":"2408.14262","title":"Self-supervised Speech Representations Still Struggle with African American Vernacular English","created":"2024-08-26","cited_by_count":6,"area":null},{"id":"2409.08805","title":"Exploring SSL Discrete Tokens for Multilingual ASR","created":"2024-09-13","cited_by_count":6,"area":null},{"id":"2503.04710","title":"Self-Supervised Models for Phoneme Recognition: Applications in Children's Speech for Reading Learning","created":"2025-03-06","cited_by_count":6,"area":null},{"id":"2207.10817","title":"End-to-End and Self-Supervised Learning for ComParE 2022 Stuttering Sub-Challenge","created":"2022-07-20","cited_by_count":5,"area":null},{"id":"2402.13723","title":"The Effect of Batch Size on Contrastive Self-Supervised Speech Representation Learning","created":"2024-02-21","cited_by_count":5,"area":null},{"id":"2403.20184","title":"Exploring Pathological Speech Quality Assessment with ASR-Powered Wav2Vec2 in Data-Scarce Context","created":"2024-03-29","cited_by_count":5,"area":null},{"id":"2406.12209","title":"Interface Design for Self-Supervised Speech Models","created":"2024-06-18","cited_by_count":5,"area":null},{"id":"2409.16295","title":"Efficient Training of Self-Supervised Speech Foundation Models on a Compute Budget","created":"2024-09-09","cited_by_count":5,"area":null},{"id":"2411.18217","title":"How to Learn a New Language? An Efficient Solution for Self-Supervised Learning Models Unseen Languages Adaption in Low-Resource Scenario","created":"2024-11-27","cited_by_count":5,"area":null},{"id":"2501.05966","title":"Towards Early Prediction of Self-Supervised Speech Model Performance","created":"2025-01-10","cited_by_count":5,"area":null},{"id":"2503.23542","title":"Whisper-LM: Improving ASR Models with Language Models for Low-Resource Languages","created":"2025-03-30","cited_by_count":5,"area":null},{"id":"2509.15655","title":"Layer-wise Minimal Pair Probing Reveals Contextual Grammatical-Conceptual Hierarchy in Speech Representations","created":"2025-09-19","cited_by_count":5,"area":null},{"id":"2602.15537","title":"ZeroSyl: Simple Zero-Resource Syllable Tokenization for Spoken Language Modeling","created":"2026-02-17","cited_by_count":5,"area":null},{"id":"2207.09078","title":"ILASR: Privacy-Preserving Incremental Learning for Automatic Speech Recognition at Production Scale","created":"2022-07-19","cited_by_count":4,"area":null},{"id":"2210.15445","title":"Efficient Utilization of Large Pre-Trained Models for Low Resource ASR","created":"2022-10-26","cited_by_count":4,"area":null},{"id":"2302.05110","title":"Cross-Corpora Spoken Language Identification with Domain Diversification and Generalization","created":"2023-02-10","cited_by_count":4,"area":null},{"id":"2305.01578","title":"Self-supervised learning for infant cry analysis","created":"2023-05-02","cited_by_count":4,"area":null},{"id":"2305.05201","title":"Exploration of Language Dependency for Japanese Self-Supervised Speech Representation Models","created":"2023-05-09","cited_by_count":4,"area":null},{"id":"2306.00689","title":"Stuttering Detection Using Speaker Representations and Self-supervised Contextual Embeddings","created":"2023-06-01","cited_by_count":4,"area":null},{"id":"2307.05132","title":"On the Use of Self-Supervised Speech Representations in Spontaneous Speech Synthesis","created":"2023-07-11","cited_by_count":4,"area":null},{"id":"2309.10930","title":"Test-Time Training for Speech","created":"2023-09-19","cited_by_count":4,"area":null}],"next_cursor":"100"}