Hung-Shin Lee

Automatic Detection of Speech Under Cold Using Discriminative Autoencoders and Strength Modeling with Multiple Sub-Dictionary Generation

2018

In this paper we aim to tackle the Cold sub-challenge proposed in the INTERSPEECH 2017 ComParE Challenge. The goal is to determine whether given speech is under cold condition. In this paper we present two …

Exploring the Impact of Data Quantity on ASR in Extremely Low-resource Languages

2024 · arXiv (Cornell University)

This study investigates the efficacy of data augmentation techniques for low-resource automatic speech recognition (ASR), focusing on two endangered Austronesian languages, Amis and Seediq. Recognizing the potential of self-supervised learning (SSL) in low-resource settings, we …

Leveraging Retrieval-Augmented Generation for Culturally Inclusive Hakka Chatbots: Design Insights and User Perceptions

2024

In an era where cultural preservation is increasingly intertwined with technological innovation, this study introduces a groundbreaking approach to promoting and safeguarding the rich heritage of Taiwanese Hakka culture through the development of a Retrieval-Augmented …