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cs.CL2026
Speaker-Disentangled Chunk-Wise Regression for Syllabic Tokenization
Ryota Komatsu, Kota Kawakita, Takuma Okamoto +1
Unsupervised syllabic tokenization aims to learn discrete syllabic tokens that capture latent linguistic content-related structure from raw speech. Recent syllabic tokenization met…
eess.AS2026
WaveNeXt 2: ConvNeXt-Based Fast Neural Vocoders With Residual Denoising and Sub-Modeling for GAN and Diffusion Models
Wangzixi Zhou, Takuma Okamoto, Yamato Ohtani +2
Most neural vocoders are limited to one type: either GAN or diffusion-based. While state-of-the-art models like Vocos and WaveNeXt use powerful ConvNeXt-based generators, they have…