1 citations · 2 across the 7 of their papers we have counts for
7 papers
Scaling LLM Reasoning from Minimal Labels: A Semi-Supervised Framework with a Lightweight Verifier
Keizo Kato, Chenhui Chu, Yugo Murawaki +1
For the development of Large language models (LLMs), recent approaches to generating pseudo intermediate reasoning have shown remarkable progress. But they typically rely on large…
Bridging Speech Emotion Recognition and Personality: Dataset and Temporal Interaction Condition Network
Yuan Gao, Hao Shi, Yahui Fu +2
This study investigates the interaction between personality traits and emotion expression, exploring how personality information can improve speech emotion recognition (SER). We co…
Cross-lingual Embedding Clustering for Hierarchical Softmax in Low-Resource Multilingual Speech Recognition
Zhengdong Yang, Qianying Liu, Sheng Li +2
We present a novel approach centered on the decoding stage of Automatic Speech Recognition (ASR) that enhances multilingual performance, especially for low-resource languages. It u…
StyEmp: Stylizing Empathetic Response Generation via Multi-Grained Prefix Encoder and Personality Reinforcement
Yahui Fu, Chenhui Chu, Tatsuya Kawahara
Recent approaches for empathetic response generation mainly focus on emotional resonance and user understanding, without considering the system's personality. Consistent personalit…
MOS-FAD: Improving Fake Audio Detection Via Automatic Mean Opinion Score Prediction
Wangjin Zhou, Zhengdong Yang, Chenhui Chu +4
Automatic Mean Opinion Score (MOS) prediction is employed to evaluate the quality of synthetic speech. This study extends the application of predicted MOS to the task of Fake Audio…
FedCPC: An Effective Federated Contrastive Learning Method for Privacy Preserving Early-Stage Alzheimer's Speech Detection
Wenqing Wei, Zhengdong Yang, Yuan Gao +4
The early-stage Alzheimer's disease (AD) detection has been considered an important field of medical studies. Like traditional machine learning methods, speech-based automatic dete…
Hierarchical Softmax for End-to-End Low-resource Multilingual Speech Recognition
Qianying Liu, Zhuo Gong, Zhengdong Yang +8
Low-resource speech recognition has been long-suffering from insufficient training data. In this paper, we propose an approach that leverages neighboring languages to improve low-r…