{"total":25,"rows":[{"id":"2107.04734","title":"Layer-wise Analysis of a Self-supervised Speech Representation Model","created":"2021-07-10","cited_by_count":298,"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":"2210.11723","title":"Evidence of Vocal Tract Articulation in Self-Supervised Learning of Speech","created":"2022-10-21","cited_by_count":31,"area":null},{"id":"2204.03863","title":"Automatic Pronunciation Assessment using Self-Supervised Speech Representation Learning","created":"2022-04-08","cited_by_count":29,"area":null},{"id":"2403.16865","title":"Encoding of lexical tone in self-supervised models of spoken language","created":"2024-03-25","cited_by_count":23,"area":null},{"id":"2306.06524","title":"What Can an Accent Identifier Learn? Probing Phonetic and Prosodic Information in a Wav2vec2-based Accent Identification Model","created":"2023-06-10","cited_by_count":18,"area":null},{"id":"2408.13678","title":"A layer-wise analysis of Mandarin and English suprasegmentals in SSL speech models","created":"2024-08-24","cited_by_count":18,"area":null},{"id":"2406.09200","title":"Orthogonality and isotropy of speaker and phonetic information in self-supervised speech representations","created":"2024-06-13","cited_by_count":14,"area":null},{"id":"2204.00400","title":"Probing Speech Emotion Recognition Transformers for Linguistic Knowledge","created":"2022-04-01","cited_by_count":13,"area":null},{"id":"2205.02694","title":"Quantifying Language Variation Acoustically with Few Resources","created":"2022-05-05","cited_by_count":12,"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":"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":"2509.04166","title":"Crossing the Species Divide: Transfer Learning from Speech to Animal Sounds","created":"2025-09-04","cited_by_count":4,"area":null},{"id":"2204.07272","title":"Automated speech tools for helping communities process restricted-access corpora for language revival efforts","created":"2022-04-15","cited_by_count":3,"area":null},{"id":"2303.02719","title":"A Comparative Study of Self-Supervised Speech Representations in Read and Spontaneous TTS","created":"2023-03-05","cited_by_count":3,"area":null},{"id":"2410.19935","title":"Do Discrete Self-Supervised Representations of Speech Capture Tone Distinctions?","created":"2024-10-25","cited_by_count":3,"area":null},{"id":"2302.14055","title":"Phone and speaker spatial organization in self-supervised speech representations","created":"2023-02-24","cited_by_count":2,"area":null},{"id":"2405.08237","title":"A predictive learning model can simulate temporal dynamics and context effects found in neural representations of continuous speech","created":"2024-05-13","cited_by_count":2,"area":null},{"id":"2503.04814","title":"Normalization through Fine-tuning: Understanding Wav2vec 2.0 Embeddings for Phonetic Analysis","created":"2025-03-04","cited_by_count":1,"area":null},{"id":"2210.00367","title":"A Comparison of Transformer, Convolutional, and Recurrent Neural Networks on Phoneme Recognition","created":"2022-10-01","cited_by_count":0,"area":null},{"id":"2409.09446","title":"MulCPred: Learning Multi-modal Concepts for Explainable Pedestrian Action Prediction","created":"2024-09-14","cited_by_count":0,"area":null},{"id":"2508.17914","title":"Evaluating the Representation of Vowels in Wav2Vec Feature Extractor: A Layer-Wise Analysis Using MFCCs","created":"2025-08-25","cited_by_count":0,"area":null},{"id":"2509.11168","title":"An Entropy-Guided Curriculum Learning Strategy for Data-Efficient Acoustic Scene Classification under Domain Shift","created":"2025-09-14","cited_by_count":0,"area":null},{"id":"2605.00607","title":"Beyond Decodability: Reconstructing Language Model Representations with an Encoding Probe","created":"2026-05-01","cited_by_count":0,"area":null},{"id":"2606.17835","title":"Perceptual compensation for tonal context in self-supervised speech models","created":"2026-06-16","cited_by_count":0,"area":null}],"next_cursor":null}