Hsiu-Hsuan Wang — accepted AI-conference papers

2024

Codec-SUPERB: An In-Depth Analysis of Sound Codec Models

Haibin Wu, Ho-Lam Chung, Yi-Cheng Lin, Yuan-Kuei Wu, Xuanjun Chen, Yu-Chi Pai +4

ACL 2024findings

The sound codec’s dual roles in minimizing data transmission latency and serving as tokenizers underscore its critical importance.Recent years have witnessed significant developments in codec models.The ideal sound codec should preserve content, paralinguistics, speakers, and audio information.Howev…

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2024

Exploring Speech Recognition, Translation, and Understanding with Discrete Speech Units: A Comparative Study

Xuankai Chang, Brian Yan, Kwanghee Choi, Jee-Weon Jung, Yichen Lu, Soumi Maiti +11

ICASSP 2024accepted

Speech signals, typically sampled at rates in the tens of thousands per second, contain redundancies, evoking inefficiencies in sequence modeling. High-dimensional speech features such as spectrograms are often used as the input for the subsequent model. However, they can still be redundant. Recent…

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