{"total":17,"rows":[{"id":"2310.00274","title":"AfriSpeech-200: Pan-African Accented Speech Dataset for Clinical and General Domain ASR","created":"2023-09-30","cited_by_count":35,"area":null},{"id":"2203.16104","title":"Improving Distortion Robustness of Self-supervised Speech Processing Tasks with Domain Adaptation","created":"2022-03-30","cited_by_count":17,"area":null},{"id":"2110.00678","title":"Speech Technology for Everyone: Automatic Speech Recognition for Non-Native English with Transfer Learning","created":"2021-10-01","cited_by_count":10,"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":"2211.06369","title":"Enhancing and Adversarial: Improve ASR with Speaker Labels","created":"2022-11-11","cited_by_count":6,"area":null},{"id":"2310.15970","title":"Accented Speech Recognition With Accent-specific Codebooks","created":"2023-10-24","cited_by_count":6,"area":null},{"id":"2407.04047","title":"Improving Accented Speech Recognition using Data Augmentation based on Unsupervised Text-to-Speech Synthesis","created":"2024-07-04","cited_by_count":5,"area":null},{"id":"2202.05209","title":"Improving Automatic Speech Recognition for Non-Native English with Transfer Learning and Language Model Decoding","created":"2022-02-10","cited_by_count":3,"area":null},{"id":"2211.14732","title":"Deep representation learning: Fundamentals, Perspectives, Applications, and Open Challenges","created":"2022-11-27","cited_by_count":3,"area":null},{"id":"2407.03026","title":"Qifusion-Net: Layer-adapted Stream/Non-stream Model for End-to-End Multi-Accent Speech Recognition","created":"2024-07-03","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":"2302.11224","title":"MADI: Inter-domain Matching and Intra-domain Discrimination for Cross-domain Speech Recognition","created":"2023-02-22","cited_by_count":1,"area":null},{"id":"2407.03734","title":"Improving Self-supervised Pre-training using Accent-Specific Codebooks","created":"2024-07-04","cited_by_count":1,"area":null},{"id":"2604.18249","title":"Where Do Self-Supervised Speech Models Become Unfair?","created":"2026-04-20","cited_by_count":1,"area":null},{"id":"2204.02381","title":"Hear No Evil: Towards Adversarial Robustness of Automatic Speech Recognition via Multi-Task Learning","created":"2022-04-05","cited_by_count":0,"area":null},{"id":"2510.18374","title":"Towards Fair ASR For Second Language Speakers Using Fairness Prompted Finetuning","created":"2025-10-21","cited_by_count":0,"area":null},{"id":"2610.13550","title":"Personalization Without Stereotyping: Do Speech LLMs Know When to Turn a Deaf Ear?","created":"2026-10-09","cited_by_count":0,"area":null}],"next_cursor":null}