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cs.SD2026
PhysWave: Physics-Guided Latent Diffusion Models for Controllable Spatial Audio Generation
Lingfeng Yao, Chenpei Huang, Xingke Yang +5
Text-to-spatial audio generation, such as text-to-First-Order Ambisonics (FOA), provides a convenient way to create spatial audio for billion-dollar gaming and film industries. How…
cs.SD2026
LongCat-AudioDiT: High-Fidelity Diffusion Text-to-Speech in the Waveform Latent Space
Detai Xin, Shujie Hu, Chengzuo Yang +4
We present LongCat-AudioDiT, a novel, non-autoregressive diffusion-based text-to-speech (TTS) model that achieves state-of-the-art (SOTA) performance. Unlike previous methods that…
cs.SD2025
EchoMark: Perceptual Acoustic Environment Transfer with Watermark-Embedded Room Impulse Response
Chenpei Huang, Lingfeng Yao, Kyu In Lee +3
Acoustic Environment Matching (AEM) is the task of transferring clean audio into a target acoustic environment, enabling engaging applications such as audio dubbing and auditory im…