38 citations · 43 across the 3 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★ 1 cited
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…