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Arti-Invar: A Pre-trained Model for enhancing Acoustic-to-Articulatory Inversion Performance

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Date:2025-08-28

Affiliation of Participant(s):信息科学学院

Title of Paper:Arti-Invar: A Pre-trained Model for enhancing Acoustic-to-Articulatory Inversion Performance

Journal:ISCSLP 2024

Co-author:解焱陆,Jinsong Zhang,柯登峰

First Author:孙艺峰

Number of Words:1

Translation or Not:No

Pre One : Acoustic Features at Intonational Phrase Boundaries: Comparative Study of Native Speakers and L2 Learners of Chinese Mandarin

Next One : Leveraging Large Language Models to Refine Automatic Feedback Generation at Articulatory Level in Computer Aided Pronunciation Training

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Supervisor of Doctorate Candidates
Supervisor of Master's Candidates

Gender : Male

Alma Mater : 中国科学技术大学

Education Level : Doctoral Degree

Degree : Doctor

Status : On-the-job

School/Department : 信息科学学院

Faculty/School : School of Information Science

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