2 citations · 4 across the 8 of their papers we have counts for
8 papers
Generalized Stock Price Prediction for Multiple Stocks Combined with News Fusion
Pei-Jun Liao, Hung-Shin Lee, Yao-Fei Cheng +3
Predicting stock prices presents challenges in financial forecasting. While traditional approaches such as ARIMA and RNNs are prevalent, recent developments in Large Language Model…
Exploring the Impact of Data Quantity on ASR in Extremely Low-resource Languages
Yao-Fei Cheng, Li-Wei Chen, Hung-Shin Lee +1
This study investigates the efficacy of data augmentation techniques for low-resource automatic speech recognition (ASR), focusing on two endangered Austronesian languages, Amis an…
Exploring Speech Recognition, Translation, and Understanding with Discrete Speech Units: A Comparative Study
Xuankai Chang, Brian Yan, Kwanghee Choi +14
Speech signals, typically sampled at rates in the tens of thousands per second, contain redundancies, evoking inefficiencies in sequence modeling. High-dimensional speech features…
CasNet: Investigating Channel Robustness for Speech Separation
Fan-Lin Wang, Yao-Fei Cheng, Hung-Shin Lee +2
Recording channel mismatch between training and testing conditions has been shown to be a serious problem for speech separation. This situation greatly reduces the separation perfo…
A Training and Inference Strategy Using Noisy and Enhanced Speech as Target for Speech Enhancement without Clean Speech
Li-Wei Chen, Yao-Fei Cheng, Hung-Shin Lee +2
The lack of clean speech is a practical challenge to the development of speech enhancement systems, which means that there is an inevitable mismatch between their training criterio…
Speech-enhanced and Noise-aware Networks for Robust Speech Recognition
Hung-Shin Lee, Pin-Yuan Chen, Yao-Fei Cheng +2
Compensation for channel mismatch and noise interference is essential for robust automatic speech recognition. Enhanced speech has been introduced into the multi-condition training…
Chain-based Discriminative Autoencoders for Speech Recognition
Hung-Shin Lee, Pin-Tuan Huang, Yao-Fei Cheng +1
In our previous work, we proposed a discriminative autoencoder (DcAE) for speech recognition. DcAE combines two training schemes into one. First, since DcAE aims to learn encoder-d…
AlloST: Low-resource Speech Translation without Source Transcription
Yao-Fei Cheng, Hung-Shin Lee, Hsin-Min Wang
The end-to-end architecture has made promising progress in speech translation (ST). However, the ST task is still challenging under low-resource conditions. Most ST models have sho…