38 citations · 42 across the 2 of their papers we have counts for
3 papers
eess.AS2020★ 38 cited
Audio ALBERT: A Lite BERT for Self-supervised Learning of Audio Representation
Po-Han Chi, Pei-Hung Chung, Tsung-Han Wu +4
For self-supervised speech processing, it is crucial to use pretrained models as speech representation extractors. In recent works, increasing the size of the model has been utiliz…
cs.CL2018
Joint Learning of Interactive Spoken Content Retrieval and Trainable User Simulator
Pei-Hung Chung, Kuan Tung, Ching-Lun Tai +1
User-machine interaction is crucial for information retrieval, especially for spoken content retrieval, because spoken content is difficult to browse, and speech recognition has a…
cs.CL2016★ 4 cited
Interactive Spoken Content Retrieval by Deep Reinforcement Learning
Yen-Chen Wu, Tzu-Hsiang Lin, Yang-De Chen +2
User-machine interaction is important for spoken content retrieval. For text content retrieval, the user can easily scan through and select on a list of retrieved item. This is imp…