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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 10 of 10 1 DARTS-ASR: Differentiable Architecture Search for Multilingual Speech Recognition and Adaptation ... Chen, Yi-Chen; Hsu, Jui-Yang; Lee, Cheng-Kuang. - : arXiv, 2020 BASE Show details 2 From Semi-supervised to Almost-unsupervised Speech Recognition with Very-low Resource by Jointly Learning Phonetic Structures from Audio and Text Embeddings ... Chen, Yi-Chen; Huang, Sung-Feng; Lee, Hung-yi; Lee, Lin-shan. - : arXiv, 2019 Abstract: Producing a large amount of annotated speech data for training ASR systems remains difficult for more than 95% of languages all over the world which are low-resourced. However, we note human babies start to learn the language by the sounds (or phonetic structures) of a small number of exemplar words, and "generalize" such knowledge to other words without hearing a large amount of data. We initiate some preliminary work in this direction. Audio Word2Vec is used to learn the phonetic structures from spoken words (signal segments), while another autoencoder is used to learn the phonetic structures from text words. The relationships among the above two can be learned jointly, or separately after the above two are well trained. This relationship can be used in speech recognition with very low resource. In the initial experiments on the TIMIT dataset, only 2.1 hours of speech data (in which 2500 spoken words were annotated and the rest unlabeled) gave a word error rate of 44.6%, and this number can be reduced to ... Keyword: Audio and Speech Processing eess.AS; Computation and Language cs.CL; FOS Computer and information sciences; FOS Electrical engineering, electronic engineering, information engineering; Sound cs.SD URL: https://arxiv.org/abs/1904.05078 https://dx.doi.org/10.48550/arxiv.1904.05078 BASE Hide details 3 Almost-unsupervised Speech Recognition with Close-to-zero Resource Based on Phonetic Structures Learned from Very Small Unpaired Speech and Text Data ... Chen, Yi-Chen; Shen, Chia-Hao; Huang, Sung-Feng. - : arXiv, 2018 BASE Show details 4 Phonetic-and-Semantic Embedding of Spoken Words with Applications in Spoken Content Retrieval ... Chen, Yi-Chen; Huang, Sung-Feng; Shen, Chia-Hao. - : arXiv, 2018 BASE Show details 5 Towards Unsupervised Automatic Speech Recognition Trained by Unaligned Speech and Text only ... Chen, Yi-Chen; Shen, Chia-Hao; Huang, Sung-Feng. - : arXiv, 2018 BASE Show details 6 Improved Audio Embeddings by Adjacency-Based Clustering with Applications in Spoken Term Detection ... Huang, Sung-Feng; Chen, Yi-Chen; Lee, Hung-yi. - : arXiv, 2018 BASE Show details 7 EFL learners' awareness of metonymy-metaphor continuum in figurative expressions Lai, Huei-ling; Chen, Yi-chen In: Language awareness. - Abingdon : Routledge 21 (2012) 3, 235-248 BLLDB OLC Linguistik Show details 8 Evolution of eukaryal tRNA-guanine transglycosylase: insight gained from the heterocyclic substrate recognition by the wild-type and mutant human and Escherichia coli tRNA-guanine transglycosylases Chen, Yi-Chen; Brooks, Allen F.; Goodenough-Lashua, DeeAnne M.. - : Oxford University Press, 2011 BASE Show details 9 Characterization of the human tRNA-guanine transglycosylase: Confirmation of the heterodimeric subunit structure Chen, Yi-Chen; Kelly, Vincent P.; Stachura, Stefanie V.. - : Cold Spring Harbor Laboratory Press, 2010 BASE Show details 10 Evolution of Eukaryal tRNA-Guanine Transglycosylase: Insight Gained from the Characterization of the Human and Escherichia coli tRNA-Guanine Transglycosylases. Chen, Yi-Chen BASE Show details

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