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eess.AS2026
Controllable Accent Normalization via Discrete Diffusion
Qibing Bai, Yuhan Du, Tom Ko +3
Existing accent normalization methods do not typically offer control over accent strength, yet many applications-such as language learning and dubbing-require tunable accent retent…
eess.AS2024
RepCodec: A Speech Representation Codec for Speech Tokenization
Zhichao Huang, Chutong Meng, Tom Ko
With recent rapid growth of large language models (LLMs), discrete speech tokenization has played an important role for injecting speech into LLMs. However, this discretization giv…