{"total":17,"rows":[{"id":"2209.15174","title":"Music Source Separation with Band-split RNN","created":"2022-09-30","cited_by_count":70,"area":null},{"id":"2308.10415","title":"TokenSplit: Using Discrete Speech Representations for Direct, Refined, and Transcript-Conditioned Speech Separation and Recognition","created":"2023-08-21","cited_by_count":8,"area":null},{"id":"2211.05172","title":"Speech separation with large-scale self-supervised learning","created":"2022-11-09","cited_by_count":5,"area":null},{"id":"2204.03232","title":"Leveraging Real Conversational Data for Multi-Channel Continuous Speech Separation","created":"2022-04-07","cited_by_count":4,"area":null},{"id":"2305.20054","title":"UNSSOR: Unsupervised Neural Speech Separation by Leveraging Over-determined Training Mixtures","created":"2023-05-31","cited_by_count":4,"area":null},{"id":"2212.00369","title":"Deep neural network techniques for monaural speech enhancement: state of the art analysis","created":"2022-12-01","cited_by_count":3,"area":null},{"id":"2211.08303","title":"Reverberation as Supervision for Speech Separation","created":"2022-11-15","cited_by_count":2,"area":null},{"id":"2205.01751","title":"On monoaural speech enhancement for automatic recognition of real noisy speech using mixture invariant training","created":"2022-05-03","cited_by_count":1,"area":null},{"id":"2210.15368","title":"A Training and Inference Strategy Using Noisy and Enhanced Speech as Target for Speech Enhancement without Clean Speech","created":"2022-10-27","cited_by_count":1,"area":null},{"id":"2403.01369","title":"A Closer Look at Wav2Vec2 Embeddings for On-Device Single-Channel Speech Enhancement","created":"2024-03-03","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":"2305.10652","title":"Speech Separation based on Contrastive Learning and Deep Modularization","created":"2023-05-18","cited_by_count":0,"area":null},{"id":"2402.01413","title":"Objective and subjective evaluation of speech enhancement methods in the UDASE task of the 7th CHiME challenge","created":"2024-02-02","cited_by_count":0,"area":null},{"id":"2409.01352","title":"Spectron: Target Speaker Extraction using Conditional Transformer with Adversarial Refinement","created":"2024-09-02","cited_by_count":0,"area":null},{"id":"2602.04307","title":"Universal Robust Speech Adaptation for Cross-Domain Speech Recognition and Enhancement","created":"2026-02-04","cited_by_count":0,"area":null},{"id":"2603.07471","title":"Towards Lightweight Adaptation of Speech Enhancement Models in Real-World Environments","created":"2026-03-08","cited_by_count":0,"area":null},{"id":"2609.03622","title":"Test-time adaptation for speech enhancement with an autoregressive speech prior","created":"2026-09-03","cited_by_count":0,"area":null}],"next_cursor":null}