262 citations · 589 across the 24 of their papers we have counts for
5 papers · 1 filter
Learning to Distill: The Essence Vector Modeling Framework
Kuan-Yu Chen, Shih-Hung Liu, Berlin Chen +1
In the context of natural language processing, representation learning has emerged as a newly active research subject because of its excellent performance in many applications. Lea…
Voice Conversion from Non-parallel Corpora Using Variational Auto-encoder
Chin-Cheng Hsu, Hsin-Te Hwang, Yi-Chiao Wu +2
We propose a flexible framework for spectral conversion (SC) that facilitates training with unaligned corpora. Many SC frameworks require parallel corpora, phonetic alignments, or…
Dictionary Update for NMF-based Voice Conversion Using an Encoder-Decoder Network
Chin-Cheng Hsu, Hsin-Te Hwang, Yi-Chiao Wu +2
In this paper, we propose a dictionary update method for Nonnegative Matrix Factorization (NMF) with high dimensional data in a spectral conversion (SC) task. Voice conversion has…
Novel Word Embedding and Translation-based Language Modeling for Extractive Speech Summarization
Kuan-Yu Chen, Shih-Hung Liu, Berlin Chen +2
Word embedding methods revolve around learning continuous distributed vector representations of words with neural networks, which can capture semantic and/or syntactic cues, and in…
Improved Spoken Document Summarization with Coverage Modeling Techniques
Kuan-Yu Chen, Shih-Hung Liu, Berlin Chen +1
Extractive summarization aims at selecting a set of indicative sentences from a source document as a summary that can express the major theme of the document. A general consensus o…