MOS-FAD: Improving Fake Audio Detection Via Automatic Mean Opinion Score Prediction

no code implementations • 24 Jan 2024 • Wangjin Zhou, Zhengdong Yang, Chenhui Chu, Sheng Li, Raj Dabre, Yi Zhao, Tatsuya Kawahara

We propose MOS-FAD, where MOS can be leveraged at two key points in FAD: training data selection and model fusion.

FAD

FedCPC: An Effective Federated Contrastive Learning Method for Privacy Preserving Early-Stage Alzheimer's Speech Detection

no code implementations • 21 Nov 2023 • Wenqing Wei, Zhengdong Yang, Yuan Gao, Jiyi Li, Chenhui Chu, Shogo Okada, Sheng Li

The early-stage Alzheimer's disease (AD) detection has been considered an important field of medical studies.

Contrastive Learning Federated Learning +1

Fusion of Self-supervised Learned Models for MOS Prediction

no code implementations • 11 Apr 2022 • Zhengdong Yang, Wangjin Zhou, Chenhui Chu, Sheng Li, Raj Dabre, Raphael Rubino, Yi Zhao

This challenge aims to predict MOS scores of synthetic speech on two tracks, the main track and a more challenging sub-track: out-of-domain (OOD).

Hierarchical Softmax for End-to-End Low-resource Multilingual Speech Recognition

1 code implementation • 8 Apr 2022 • Qianying Liu, Zhuo Gong, Zhengdong Yang, Yuhang Yang, Sheng Li, Chenchen Ding, Nobuaki Minematsu, Hao Huang, Fei Cheng, Chenhui Chu, Sadao Kurohashi

Low-resource speech recognition has been long-suffering from insufficient training data.

speech-recognition Speech Recognition