Search Results for author: Chao-Chung Wu

Found 3 papers, 1 papers with code

Controlling Sequence-to-Sequence Models - A Demonstration on Neural-based Acrostic Generator

no code implementations IJCNLP 2019 Liang-Hsin Shen, Pei-Lun Tai, Chao-Chung Wu, Shou-De Lin

An acrostic is a form of writing that the first token of each line (or other recurring features in the text) forms a meaningful sequence.

Text Generation

Audio Word2Vec: Unsupervised Learning of Audio Segment Representations using Sequence-to-sequence Autoencoder

1 code implementation3 Mar 2016 Yu-An Chung, Chao-Chung Wu, Chia-Hao Shen, Hung-Yi Lee, Lin-shan Lee

The vector representations of fixed dimensionality for words (in text) offered by Word2Vec have been shown to be very useful in many application scenarios, in particular due to the semantic information they carry.

Denoising Dynamic Time Warping

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