Papers by Y. Alicia Hong

1 papers
AffectCodec: Emotion-Preserving Neural Speech Codec for Expressive Speech Modeling (2026.findings-acl)

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Challenge: Existing codecs optimize acoustic reconstruction, leaving emotion expressiveness insufficiently modeled at the representation level.
Approach: They propose an emotion-guided neural speech codec that preserves emotional information while maintaining semantic fidelity and prosodic naturalness.
Outcome: The proposed codec preserves emotional cues while maintaining semantic fidelity and prosodic naturalness.

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