| { |
| "paper_id": "O16-1013", |
| "header": { |
| "generated_with": "S2ORC 1.0.0", |
| "date_generated": "2023-01-19T08:05:02.934283Z" |
| }, |
| "title": "Character-Level Linguistic Features Extraction for Text-to-Speech System", |
| "authors": [ |
| { |
| "first": "Kuan-Hung", |
| "middle": [], |
| "last": "\u9673\u51a0\u5b8f", |
| "suffix": "", |
| "affiliation": { |
| "laboratory": "", |
| "institution": "National Taipei University of Technology", |
| "location": {} |
| }, |
| "email": "" |
| }, |
| { |
| "first": "", |
| "middle": [], |
| "last": "Chen", |
| "suffix": "", |
| "affiliation": { |
| "laboratory": "", |
| "institution": "National Taipei University of Technology", |
| "location": {} |
| }, |
| "email": "" |
| }, |
| { |
| "first": "Shu-Han", |
| "middle": [], |
| "last": "\u5ed6\u66f8\u6f22", |
| "suffix": "", |
| "affiliation": { |
| "laboratory": "", |
| "institution": "National Taipei University of Technology", |
| "location": {} |
| }, |
| "email": "" |
| }, |
| { |
| "first": "", |
| "middle": [], |
| "last": "Liao", |
| "suffix": "", |
| "affiliation": { |
| "laboratory": "", |
| "institution": "National Taipei University of Technology", |
| "location": {} |
| }, |
| "email": "yfliao@mail.ntut.edu.tw" |
| }, |
| { |
| "first": "Yuan-Fu", |
| "middle": [], |
| "last": "\u5ed6\u5143\u752b", |
| "suffix": "", |
| "affiliation": { |
| "laboratory": "", |
| "institution": "National Taipei University of Technology", |
| "location": {} |
| }, |
| "email": "" |
| }, |
| { |
| "first": "Yih-Ru", |
| "middle": [], |
| "last": "\u738b\u9038\u5982", |
| "suffix": "", |
| "affiliation": { |
| "laboratory": "", |
| "institution": "National Chiao-Tung University", |
| "location": {} |
| }, |
| "email": "" |
| }, |
| { |
| "first": "", |
| "middle": [], |
| "last": "Wng", |
| "suffix": "", |
| "affiliation": { |
| "laboratory": "", |
| "institution": "National Chiao-Tung University", |
| "location": {} |
| }, |
| "email": "" |
| } |
| ], |
| "year": "", |
| "venue": null, |
| "identifiers": {}, |
| "abstract": "", |
| "pdf_parse": { |
| "paper_id": "O16-1013", |
| "_pdf_hash": "", |
| "abstract": [], |
| "body_text": [], |
| "back_matter": [], |
| "bib_entries": { |
| "BIBREF1": { |
| "ref_id": "b1", |
| "title": "LSTM: A Search Space Odyssey", |
| "authors": [ |
| { |
| "first": "Klaus", |
| "middle": [], |
| "last": "Greff", |
| "suffix": "" |
| }, |
| { |
| "first": "Rupesh", |
| "middle": [ |
| "Kumar" |
| ], |
| "last": "Srivastava", |
| "suffix": "" |
| }, |
| { |
| "first": "Jan", |
| "middle": [], |
| "last": "Koutn\u00edk", |
| "suffix": "" |
| }, |
| { |
| "first": "R", |
| "middle": [], |
| "last": "Bas", |
| "suffix": "" |
| }, |
| { |
| "first": "J\u00fcrgen", |
| "middle": [], |
| "last": "Steunebrink", |
| "suffix": "" |
| }, |
| { |
| "first": "", |
| "middle": [], |
| "last": "Schmidhuber", |
| "suffix": "" |
| } |
| ], |
| "year": null, |
| "venue": "", |
| "volume": "", |
| "issue": "", |
| "pages": "", |
| "other_ids": { |
| "arXiv": [ |
| "arXiv:1503.04069" |
| ] |
| }, |
| "num": null, |
| "urls": [], |
| "raw_text": "Klaus Greff, Rupesh Kumar Srivastava, Jan Koutn\u00edk, Bas R. Steunebrink, J\u00fcrgen Schmidhuber, LSTM: A Search Space Odyssey, eprint arXiv:1503.04069, 03/2015", |
| "links": null |
| }, |
| "BIBREF2": { |
| "ref_id": "b2", |
| "title": "Deep Learning for Chinese Word Segmentation and POS Tagging", |
| "authors": [ |
| { |
| "first": "X", |
| "middle": [], |
| "last": "Zheng", |
| "suffix": "" |
| }, |
| { |
| "first": "", |
| "middle": [], |
| "last": "Chen", |
| "suffix": "" |
| }, |
| { |
| "first": "", |
| "middle": [], |
| "last": "Xu", |
| "suffix": "" |
| } |
| ], |
| "year": 2013, |
| "venue": "EMNLP", |
| "volume": "", |
| "issue": "", |
| "pages": "", |
| "other_ids": {}, |
| "num": null, |
| "urls": [], |
| "raw_text": "X Zheng, H Chen, T Xu, Deep Learning for Chinese Word Segmentation and POS Tagging, EMNLP, 2013 -aclweb.org", |
| "links": null |
| }, |
| "BIBREF3": { |
| "ref_id": "b3", |
| "title": "Automatic prosody prediction for Chinese speech synthesis using BLSTM-RNN and embedding features", |
| "authors": [ |
| { |
| "first": "Chuang", |
| "middle": [], |
| "last": "Ding", |
| "suffix": "" |
| }, |
| { |
| "first": "Lei", |
| "middle": [], |
| "last": "Xie ; Jie Yan", |
| "suffix": "" |
| }, |
| { |
| "first": "; Weini Zhang ; Yang", |
| "middle": [], |
| "last": "Liu", |
| "suffix": "" |
| } |
| ], |
| "year": 2015, |
| "venue": "IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU)", |
| "volume": "", |
| "issue": "", |
| "pages": "98--102", |
| "other_ids": {}, |
| "num": null, |
| "urls": [], |
| "raw_text": "Chuang Ding , Lei Xie ; Jie Yan ; Weini Zhang ; Yang Liu, Automatic prosody prediction for Chinese speech synthesis using BLSTM-RNN and embedding features, 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), pp. 98 -102, 2015", |
| "links": null |
| }, |
| "BIBREF7": { |
| "ref_id": "b7", |
| "title": "Distributed Representations of Words and Phrases and their Compositionality", |
| "authors": [ |
| { |
| "first": "Tomas", |
| "middle": [], |
| "last": "Mikolov", |
| "suffix": "" |
| }, |
| { |
| "first": "Ilya", |
| "middle": [], |
| "last": "Sutskever", |
| "suffix": "" |
| }, |
| { |
| "first": "Kai", |
| "middle": [], |
| "last": "Chen", |
| "suffix": "" |
| }, |
| { |
| "first": "Greg", |
| "middle": [], |
| "last": "Corrado", |
| "suffix": "" |
| }, |
| { |
| "first": "Jeffrey", |
| "middle": [], |
| "last": "Dean", |
| "suffix": "" |
| } |
| ], |
| "year": 2013, |
| "venue": "", |
| "volume": "", |
| "issue": "", |
| "pages": "", |
| "other_ids": {}, |
| "num": null, |
| "urls": [], |
| "raw_text": "Tomas Mikolov, Ilya Sutskever, Kai Chen,Greg Corrado, Jeffrey Dean, Distributed Representations of Words and Phrases and their Compositionality,2013", |
| "links": null |
| }, |
| "BIBREF8": { |
| "ref_id": "b8", |
| "title": "Context dependent recurrent neural network language model", |
| "authors": [ |
| { |
| "first": "Tomas", |
| "middle": [], |
| "last": "Mikolov", |
| "suffix": "" |
| }, |
| { |
| "first": "*", |
| "middle": [], |
| "last": "", |
| "suffix": "" |
| }, |
| { |
| "first": "Geoffrey", |
| "middle": [], |
| "last": "Zweig", |
| "suffix": "" |
| } |
| ], |
| "year": 2012, |
| "venue": "", |
| "volume": "", |
| "issue": "", |
| "pages": "", |
| "other_ids": {}, |
| "num": null, |
| "urls": [], |
| "raw_text": "Tomas Mikolov * ,Geoffrey Zweig, Context dependent recurrent neural network language model,2012", |
| "links": null |
| } |
| }, |
| "ref_entries": { |
| "TABREF0": { |
| "type_str": "table", |
| "content": "<table><tr><td>The 2016 Conference on Computational Linguistics and Speech Processing</td></tr><tr><td>ROCLING 2016, pp. 129-130</td></tr><tr><td>\uf0d3</td></tr><tr><td>\u6458\u8981</td></tr><tr><td>\u512a\u826f\u7684\u8a9e\u8a00\u6587\u8108\u8a0a\u606f\u662f\u8a9e\u97f3\u5408\u6210\u7684\u95dc\u9375\u90e8\u5206\uff0c\u50b3\u7d71\u7684\u6587\u8108\u8a0a\u606f\u90fd\u662f\u4f9d\u8cf4\u65bc\u81ea\u7136\u8a9e\u8a00\u8655\u7406</td></tr><tr><td>(Natural Language Processing\uff0cNLP)\uff0c\u4f7f\u7528 parser \u5206\u6790\u6587\u5b57\u3002\u4f46\u662f parser \u8a2d\u8a08\u56f0\u96e3\u7121\u6cd5</td></tr><tr><td>\u5c08\u9580\u70ba\u8a9e\u97f3\u5408\u6210\u8a2d\u8a08\uff1b\u6240\u4ee5\u6211\u5011\u60f3\u76f4\u63a5\u4ee5\u5b57\u5143\u70ba\u8655\u7406\u55ae\u5143\u5efa\u7acb\u4e00\u500b end-to-end \u7684\u8a9e\u97f3\u5408</td></tr><tr><td>\u6210\u7cfb\u7d71\uff0c\u5728\u9019\u60f3\u6cd5\u4e0b\u6211\u5011\u6539\u7528\u5b57\u5143\u5c64\u7d1a(character-level)\u7684 word2vec \u8207\u905e\u8ff4\u985e\u795e\u7d93\u7db2\u8def\uff0c</td></tr><tr><td>\u76f4\u63a5\u5c07\u8f38\u5165\u5b57\u5143\u5e8f\u5217\u8f49\u63db\u6210\u96b1\u85cf\u7279\u5fb5\u5411\u91cf\u7576\u505a\u8a9e\u8a00\u5408\u6210\u7684\u6587\u8108\u8a0a\u606f\u3002\u6700\u5f8c\u6211\u5011\u5229\u7528\u4e00\u4e2d</td></tr><tr><td>\u82f1\u593e\u96dc\u8a9e\u97f3\u5408\u6210\u7cfb\u7d71\u6e2c\u8a66\u6b64\u60f3\u6cd5\uff0c\u8a9e\u97f3\u5408\u6210\u7684\u5be6\u9a57\u7684\u7d50\u679c\u8868\u660e\uff0c\u6211\u5011\u63d0\u51fa\u7684\u65b9\u5f0f\u7684\u78ba\u6bd4</td></tr><tr><td>\u50b3\u7d71\u4f7f\u7528 parse \u7684\u65b9\u5f0f\u6709\u66f4\u597d\u7684\u6027\u80fd\u3002</td></tr><tr><td>\u95dc\u9375\u8a5e\uff1a\u8a9e\u97f3\u5408\u6210\u3001\u8a9e\u8a00\u7279\u5fb5\u3001\u6587\u8108\u8a0a\u606f</td></tr></table>", |
| "num": null, |
| "html": null, |
| "text": "The Association for Computational Linguistics and Chinese Language Processing" |
| } |
| } |
| } |
| } |