6 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…
TG-ASR: Translation-Guided Learning with Parallel Gated Cross Attention for Low-Resource Automatic Speech Recognition
Cheng-Yeh Yang, Chien-Chun Wang, Li-Wei Chen +3
Low-resource automatic speech recognition (ASR) continues to pose significant challenges, primarily due to the limited availability of transcribed data for numerous languages. Whil…
SCENE: Semantic-aware Codec Enhancement with Neural Embeddings
Han-Yu Lin, Li-Wei Chen, Hung-Shin Lee
Compression artifacts from standard video codecs often degrade perceptual quality. We propose a lightweight, semantic-aware pre-processing framework that enhances perceptual fideli…
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…
Revealing the Role of Audio Channels in ASR Performance Degradation
Kuan-Tang Huang, Li-Wei Chen, Hung-Shin Lee +2
Pre-trained automatic speech recognition (ASR) models have demonstrated strong performance on a variety of tasks. However, their performance can degrade substantially when the inpu…
Channel-Aware Domain-Adaptive Generative Adversarial Network for Robust Speech Recognition
Chien-Chun Wang, Li-Wei Chen, Cheng-Kang Chou +3
While pre-trained automatic speech recognition (ASR) systems demonstrate impressive performance on matched domains, their performance often degrades when confronted with channel mi…