Titlebook: Speech-to-Speech Translation; Yutaka Kidawara,Eiichiro Sumita,Hisashi Kawai Book 2020 The Author(s), under exclusive license to Springer N

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https://doi.org/10.1007/978-981-15-0595-9S2S; Machine translation; Speech communication; Language Processing; speech recognition; speech synthesis

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Speech-to-Speech Translation978-981-15-0595-9Series ISSN 2191-5768 Series E-ISSN 2191-5776

招致

Automatic Speech Recognition,el (HMM) with Gaussian Mixture model (GMM)-based ASR which dominated the field in the early decades, and deep learning model-based ASR which dominates the techniques used now. In addition, noisy robustness, which is one of the most important challenges for ASR in real applications, will also be intr

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Book 2020ed on machine learning..Through field experiments after long research in laboratories, S2S systems are being well-developed and now ready to utilized in daily life..Unique chapter of this book is end-2-end evaluation by comparing system’s performance and human competence. The effectiveness of the sy

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Hiroaki Kato,Shoji Harada,Tasuku Kitade,Yoshinori Shigae nodes of a cable network structure at desired locations, satisfying complicated structural constrains and yielding high shape/surface accuracy as required. As another advantage, the FNPM in form finding undertakes the assignment of geometric configuration (nodal coordinates) and the determination