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uSee: Unified Speech Enhancement and Editing with Conditional Diffusion Models
Speech enhancement aims to improve the quality of speech signals in terms of quality and intelligibility, and speech editing refers to the process of editing the speech according to specific user needs.
Unifying Robustness and Fidelity: A Comprehensive Study of Pretrained Generative Methods for Speech Enhancement in Adverse Conditions
Enhancing speech signal quality in adverse acoustic environments is a persistent challenge in speech processing.
Dual-Path Cross-Modal Attention for better Audio-Visual Speech Extraction
Most current research upsamples the visual features along the time dimension so that audio and video features are able to align in time.
Learning to Separate Voices by Spatial Regions
We consider the problem of audio voice separation for binaural applications, such as earphones and hearing aids.
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