1 citations · 3 across the 16 of their papers we have counts for
4 papers · 1 filter
Enhancing Multilingual ASR for Unseen Languages via Language Embedding Modeling
Shao-Syuan Huang, Kuan-Po Huang, Andy T. Liu +1
Multilingual Automatic Speech Recognition (ASR) aims to recognize and transcribe speech from multiple languages within a single system. Whisper, one of the most advanced ASR models…
SMILE: Speech Meta In-Context Learning for Low-Resource Language Automatic Speech Recognition
Ming-Hao Hsu, Hung-yi Lee
Automatic Speech Recognition (ASR) models demonstrate outstanding performance on high-resource languages but face significant challenges when applied to low-resource languages due…
Dataset-Distillation Generative Model for Speech Emotion Recognition
Fabian Ritter-Gutierrez, Kuan-Po Huang, Jeremy H. M Wong +4
Deep learning models for speech rely on large datasets, presenting computational challenges. Yet, performance hinges on training data size. Dataset Distillation (DD) aims to learn…
Do Prompts Really Prompt? Exploring the Prompt Understanding Capability of Whisper
Chih-Kai Yang, Kuan-Po Huang, Hung-yi Lee
This research explores how the information of prompts interacts with the high-performing speech recognition model, Whisper. We compare its performances when prompted by prompts wit…