Papers by Gangshan Wu

1 papers
In-the-wild Audio Spatialization with Flexible Text-guided Localization (2025.acl-long)

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Challenge: Existing methods for mapping monaural audio to binaural signals lack flexibility and interactive control needed in complex multi-object user-interactive environments.
Approach: They propose a text-guided audio spatialization framework that utilizes diverse text prompts to evaluate binaural audio models.
Outcome: The proposed framework learns binaural differences guided by 3D spatial location and relative position prompts, enhanced with flipped-channel audio.

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