Kaiqi Fu

I currently work at Zuoyebang Education Technology (Beijing) Co., Ltd, and my main research directions are speech self-supervised models, multimodal models and second language pronunciation assessment. I got my master degree advised by Jinsong Zhang at Beijing Language and Culture University in July 2021.

I'm interested in Speech and Natural Language Processing(NLP). My current research direction is to explore the combination of the two modes.

Contact: kaiq.fu@gmail.com
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Research

Phonetic and Prosody-aware Self-supervised Learning Approach for Non-native Fluency Scoring
Kaiqi Fu, Shaojun Gao, Shuju Shi, Xiaohai Tian, Wei Li, Zejun Ma
Interspeech, 2023
Paper

Disentangling the Contribution of Non-native Speech in Automated Pronunciation Assessment
Shuju Shi, Kaiqi Fu, Yiwei Gu, Xiaohai Tian, Shaojun Gao, Wei Li, Zejun Ma
Interspeech, 2023
Paper

An ASR-Free Fluency Scoring Approach with Self-Supervised Learning
Wei Liu, Kaiqi Fu, Xiaohai Tian, Shuju Shi, Wei Li, Zejun Ma, Tan Lee.
ICASSP, 2023
Paper

Leveraging phone-level linguistic-acoustic similarity for utterance-level pronunciation scoring
Wei Liu, Kaiqi Fu, Xiaohai Tian, Shuju Shi, Wei Li, Zejun Ma, Tan Lee.
ICASSP, 2023
Paper

Using Fluency Representation Learned from Sequential Raw Features for Improving Non-native Fluency Scoring
Kaiqi Fu, Shaojun Gao, Xiaohai Tian, Wei Li, Zejun Ma.
Interspeech, 2022
Paper

A Transfer and Multi-Task Learning based Approach for MOS Prediction
Xiaohai Tian, Kaiqi Fu, Shaojun Gao, Yiwei Gu, Kai Wang, Wei Li, Zejun Ma.
Interspeech, 2022
Paper

Improving Non-native Word-level Pronunciation Scoring with Phone-level Mixup Data Augmentation and Multi-source Information
Kaiqi Fu, Shaojun Gao, Kai Wang, Wei Li, Xiaohai Tian.
Arxiv, 2022
Paper
Non-native acoustic modeling for mispronunciation verification based on language adversarial representation learning
Longfei Yang Kaiqi Fu, Jinsong Zhang, Takahiro Shinozaki.
Neural Networks, 2021
Paper
A Study on Fine-Tuning wav2vec2. 0 Model for the Task of Mispronunciation Detection and Diagnosis
Linkai Peng, Kaiqi Fu, Binghuai Lin, Dengfeng Ke, Jinsong Zhang.
Interspeech, 2021
Paper

A Full Text-Dependent End to End Mispronunciation Detection and Diagnosis with Easy Data Augmentation Techniques
Kaiqi Fu, Jones Lin, Dengfeng Ke, Yanlu Xie, Jinsong Zhang.
Arxiv, 2021
Paper | Code
Utilizing pronunciation prompt information to model phone-level pronunciation error detection.

Pronunciation Erroneous Tendency Detection with Language Adversarial Represent Learning.
Longfei Yang Kaiqi Fu, Jinsong Zhang, Takahiro Shinozaki.
Interspeech, 2020
Paper


Latest update: 09/2023