| { | |
| "paper_id": "O08-1005", | |
| "header": { | |
| "generated_with": "S2ORC 1.0.0", | |
| "date_generated": "2023-01-19T08:02:40.498942Z" | |
| }, | |
| "title": "\u57fa\u65bc ANN \u4e4b\u983b\u8b5c\u6f14\u9032\u6a21\u578b\u53ca\u5176\u65bc\u570b\u8a9e\u8a9e\u97f3\u5408\u6210\u4e4b\u61c9\u7528 An ANN based Spectrum-progression Model and Its Application to Mandarin Speech Synthesis", | |
| "authors": [ | |
| { | |
| "first": "\u53e4\u9d3b\u708e", | |
| "middle": [], | |
| "last": "\u5433\u660c\u76ca", | |
| "suffix": "", | |
| "affiliation": { | |
| "laboratory": "", | |
| "institution": "National Taiwan University of Science and Technology", | |
| "location": {} | |
| }, | |
| "email": "" | |
| }, | |
| { | |
| "first": "Hung-Yan", | |
| "middle": [], | |
| "last": "Gu", | |
| "suffix": "", | |
| "affiliation": { | |
| "laboratory": "", | |
| "institution": "National Taiwan University of Science and Technology", | |
| "location": {} | |
| }, | |
| "email": "" | |
| }, | |
| { | |
| "first": "Chang-Yi", | |
| "middle": [], | |
| "last": "Wu", | |
| "suffix": "", | |
| "affiliation": { | |
| "laboratory": "", | |
| "institution": "National Taiwan University of Science and Technology", | |
| "location": {} | |
| }, | |
| "email": "" | |
| } | |
| ], | |
| "year": "", | |
| "venue": null, | |
| "identifiers": {}, | |
| "abstract": "", | |
| "pdf_parse": { | |
| "paper_id": "O08-1005", | |
| "_pdf_hash": "", | |
| "abstract": [], | |
| "body_text": [ | |
| { | |
| "text": "\u524d \u8ff0 \u983b \u8b5c ( \u5305 \u7d61 \u5f62 \u72c0 ) \u96a8 \u8457 \u6642 \u9593 \u6f14 \u8b8a \u7684 \u95dc \u4fc2 \uff0c \u5728 \u672c \u6587 \u88e1 \u7c21 \u7a31 \u4e4b \u70ba \u983b \u8b5c \u6f14 \u9032 (spectrum progression)\uff0c\u800c\u983b\u8b5c\u6f14\u9032\u8def\u5f91(\u7c21\u7a31\u70ba\u983b\u6f14\u8def\u5f91)\u6307\u7684\u662f\uff0c\u7576\u628a\u6b32\u5408\u6210\u7684\u97f3 \u7bc0\u653e\u5728\u6a6b\u8ef8\u4e0a\uff0c\u800c\u628a\u76f8\u540c\u62fc\u97f3\u7684\u539f\u59cb\u9304\u97f3\u97f3\u7bc0\u653e\u5728\u7e31\u8ef8\u4e0a\uff0c\u6b64\u6642\u6a6b\u8ef8\u4e0a\u5404\u6642\u9593\u9ede\u6240 \u61c9\u5c0d\u61c9\u7684\u7e31\u8ef8\u6642\u9593\u9ede\uff0c\u9700\u8981\u4e00\u689d\u66f2\u7dda\u4f86\u63cf\u8ff0\u6b64\u5c0d\u6620(mapping)\u95dc\u4fc2\uff0c\u4e00\u500b\u4f8b\u5b50\u5982\u5716 1 \u6240\u793a\uff0c\u9019\u6a23\u7684\u5c0d\u6620\u66f2\u7dda\u5c31\u662f\u672c\u6587\u6240\u8b02\u7684\u983b\u6f14\u8def\u5f91\u3002\u904e\u53bb\u5f88\u591a\u7684\u570b\u8a9e\u8a9e\u97f3\u5408\u6210\u7cfb\u7d71\uff0c \u53e5\u5b50\u88e1\u767c\u97f3\u7684/lin/ \u55ae \u7368 \u767c \u97f3 \u7684 /lin/ \u5716 1", | |
| "cite_spans": [], | |
| "ref_spans": [], | |
| "eq_spans": [], | |
| "section": "", | |
| "sec_num": null | |
| }, | |
| { | |
| "text": "\u5716 3 DTW \u4e4b\u5c40\u90e8\u8def\u5f91\u9650\u5236 \u7576\u63a1\u53d6\u5716 3 \u7684\u03b3\u5c40\u90e8\u9650\u5236\u6642\uff0cDTW \u7684\u7d2f\u7a4d\u8ddd\u96e2 Da(X,Y)\u7684\u905e\u8ff4\u8a08\u7b97\u65b9\u5f0f\uff0c\u5c31\u5982 \u516c\u5f0f(1)\uff0c \uf028 \uf029 \uf028 \uf029 \uf028 \uf029 \uf028 \uf029 \uf028 \uf029 \uf028 \uf029 \uf028 \uf029 1 2 1 1 2 1 , 3 , , min , 2 , , 3 , a i j i j a i j a i j i j a i j i j D X Y D X Y D X Y D X Y D X Y D X Y D X Y \uf02d \uf02d \uf02d \uf02d \uf02d \uf02d \uf0ec \uf0fc \uf02b \uf0d7 \uf0ef \uf0ef \uf0ef \uf0ef \uf03d \uf02b \uf0d7 \uf0ed \uf0fd \uf0ef \uf0ef \uf02b \uf0d7 \uf0ef \uf0ef \uf0ee \uf0fe (1) \u5176\u4e2d\uff0cD(X i ,Y j )\u8868\u793a\u4ee5\u5e7e\u4f55\u8ddd\u96e2\u91cf\u6e2c\u7279\u5fb5\u5411\u91cf X i \u548c Y j \u7684\u8ddd\u96e2\uff0c\u5e38\u6578 3 \u548c 2", | |
| "cite_spans": [], | |
| "ref_spans": [], | |
| "eq_spans": [], | |
| "section": "", | |
| "sec_num": null | |
| } | |
| ], | |
| "back_matter": [], | |
| "bib_entries": { | |
| "BIBREF0": { | |
| "ref_id": "b0", | |
| "title": "Au t o ma t i c Ge n s", | |
| "authors": [ | |
| { | |
| "first": "C.-H", | |
| "middle": [], | |
| "last": "Wu", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "J.-H", | |
| "middle": [], | |
| "last": "Chen", | |
| "suffix": "" | |
| } | |
| ], | |
| "year": 2001, | |
| "venue": "Speech Communication", | |
| "volume": "35", | |
| "issue": "", | |
| "pages": "219--237", | |
| "other_ids": {}, | |
| "num": null, | |
| "urls": [], | |
| "raw_text": "Wu, C.-H. and J.-H. Chen, \" Au t o ma t i c Ge n s \" , Speech Communication, Vol. 35. pp. 219-237, 2001.", | |
| "links": null | |
| }, | |
| "BIBREF1": { | |
| "ref_id": "b1", | |
| "title": "hical Structure for Predicting Prosody in a Mandarin Text-to-S p e e c h S y s t e m", | |
| "authors": [ | |
| { | |
| "first": "M", | |
| "middle": [ | |
| "S" | |
| ], | |
| "last": "Yu", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "N", | |
| "middle": [ | |
| "H" | |
| ], | |
| "last": "Pan", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "M", | |
| "middle": [ | |
| "J" | |
| ], | |
| "last": "Wu", | |
| "suffix": "" | |
| } | |
| ], | |
| "year": 2002, | |
| "venue": "", | |
| "volume": "", | |
| "issue": "", | |
| "pages": "21--24", | |
| "other_ids": {}, | |
| "num": null, | |
| "urls": [], | |
| "raw_text": "Yu, M. S., N. H. Pan, and M. J. Wu, \" A S t a t i s t i c a l Mo d e l wi t h Hi e r a r c hical Structure for Predicting Prosody in a Mandarin Text-to-S p e e c h S y s t e m\" , International Symposium on Chinese Spoken Language Processing , Taipei, pp. 21-24, 2002.", | |
| "links": null | |
| }, | |
| "BIBREF2": { | |
| "ref_id": "b2", | |
| "title": "An RNN-based Prosodic Information Synthesizer for Mandarin Text-to-Speech", | |
| "authors": [ | |
| { | |
| "first": "S", | |
| "middle": [ | |
| "H" | |
| ], | |
| "last": "Chen", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "S", | |
| "middle": [ | |
| "H" | |
| ], | |
| "last": "Hwang", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "Y", | |
| "middle": [ | |
| "R" | |
| ], | |
| "last": "Wang", | |
| "suffix": "" | |
| } | |
| ], | |
| "year": 1998, | |
| "venue": "IEEE trans. Speech and Audio Processing", | |
| "volume": "6", | |
| "issue": "3", | |
| "pages": "226--239", | |
| "other_ids": {}, | |
| "num": null, | |
| "urls": [], | |
| "raw_text": "Chen, S. H., S. H. Hwang, and Y. R. Wang, \" An RNN-based Prosodic Information Synthesizer for Mandarin Text-to-Speech\" , IEEE trans. Speech and Audio Processing, Vol. 6, No.3, pp. 226-239, 1998.", | |
| "links": null | |
| }, | |
| "BIBREF3": { | |
| "ref_id": "b3", | |
| "title": "An Acoustic and Articulatory Knowledge Integrated Method for Improving Synthetic Mandarin Speech' s Fluency", | |
| "authors": [ | |
| { | |
| "first": "Hung-Yan", | |
| "middle": [], | |
| "last": "Gu", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "Kuo-Hsian", | |
| "middle": [], | |
| "last": "Wang", | |
| "suffix": "" | |
| } | |
| ], | |
| "year": 2004, | |
| "venue": "International Symposium on Chinese Spoken Language Processing", | |
| "volume": "", | |
| "issue": "", | |
| "pages": "205--208", | |
| "other_ids": {}, | |
| "num": null, | |
| "urls": [], | |
| "raw_text": "Gu, Hung-Yan and Kuo-Hsian Wang, \"An Acoustic and Articulatory Knowledge Integrated Method for Improving Synthetic Mandarin Speech' s Fluency\", International Symposium on Chinese Spoken Language Processing, Hong Kong, pp. 205-208, 2004.", | |
| "links": null | |
| }, | |
| "BIBREF4": { | |
| "ref_id": "b4", | |
| "title": "An HMM-Based Mandarin Chinese Text-to-Speech System", | |
| "authors": [ | |
| { | |
| "first": "Y", | |
| "middle": [], | |
| "last": "Qian", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "F", | |
| "middle": [], | |
| "last": "Soong", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "Y", | |
| "middle": [], | |
| "last": "Chen", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "M", | |
| "middle": [], | |
| "last": "Chu", | |
| "suffix": "" | |
| } | |
| ], | |
| "year": 2006, | |
| "venue": "International Symposium on Chinese Spoken Language Processing", | |
| "volume": "I", | |
| "issue": "", | |
| "pages": "223--232", | |
| "other_ids": {}, | |
| "num": null, | |
| "urls": [], | |
| "raw_text": "Qian, Y., F. Soong, Y. Chen, and M. Chu, \" An HMM-Based Mandarin Chinese Text-to-Speech System\" , International Symposium on Chinese Spoken Language Processing, Singapore, Vol. I, pp. 223-232, 2006.", | |
| "links": null | |
| }, | |
| "BIBREF5": { | |
| "ref_id": "b5", | |
| "title": "Duration Modeling in HMM-based Speech Synthesis System", | |
| "authors": [ | |
| { | |
| "first": "T", | |
| "middle": [], | |
| "last": "Yoshimura", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "K", | |
| "middle": [], | |
| "last": "Tokuda", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "T", | |
| "middle": [], | |
| "last": "Masuko", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "T", | |
| "middle": [], | |
| "last": "Kobayashi", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "T", | |
| "middle": [], | |
| "last": "Kitamura", | |
| "suffix": "" | |
| } | |
| ], | |
| "year": 1998, | |
| "venue": "International Conference on Spoken Language Processing", | |
| "volume": "2", | |
| "issue": "", | |
| "pages": "29--32", | |
| "other_ids": {}, | |
| "num": null, | |
| "urls": [], | |
| "raw_text": "T. Yoshimura, K. Tokuda, T. Masuko, T. Kobayashi and T. Kitamura, \"Duration Modeling in HMM-based Speech Synthesis System\", International Conference on Spoken Language Processing, Vol. 2, pp. 29-32, 1998.", | |
| "links": null | |
| }, | |
| "BIBREF6": { | |
| "ref_id": "b6", | |
| "title": "A Study on Acoustic Module for Mandarin Text-to-Speech, Ph.D. Dissertation, Graduate Institute of Mechanical and Electrical Engineering", | |
| "authors": [ | |
| { | |
| "first": "Cheng-Yu", | |
| "middle": [], | |
| "last": "Yeh", | |
| "suffix": "" | |
| } | |
| ], | |
| "year": 2006, | |
| "venue": "", | |
| "volume": "", | |
| "issue": "", | |
| "pages": "", | |
| "other_ids": {}, | |
| "num": null, | |
| "urls": [], | |
| "raw_text": "Yeh, Cheng-Yu, A Study on Acoustic Module for Mandarin Text-to-Speech, Ph.D. Dissertation, Graduate Institute of Mechanical and Electrical Engineering, National Taipei University of Technology, Taipei, Taiwan, 2006.", | |
| "links": null | |
| }, | |
| "BIBREF7": { | |
| "ref_id": "b7", | |
| "title": "A S y s t e m F r a me wo r k f o r Integrated Synthesis of Mandarin", | |
| "authors": [ | |
| { | |
| "first": "Hung", | |
| "middle": [ | |
| "-" | |
| ], | |
| "last": "Gu", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "Yan-Zuo", | |
| "middle": [], | |
| "last": "Yan", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "", | |
| "middle": [], | |
| "last": "Zhou", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "", | |
| "middle": [], | |
| "last": "Huang-L I A N G L I A U", | |
| "suffix": "" | |
| } | |
| ], | |
| "year": 2007, | |
| "venue": "International Journal of Computational Linguistics and Chinese Language Processing", | |
| "volume": "12", | |
| "issue": "4", | |
| "pages": "371--390", | |
| "other_ids": {}, | |
| "num": null, | |
| "urls": [], | |
| "raw_text": "Gu, Hung-Yan, Yan-Zuo Zhou and Huang-L i a n g L i a u , \" A S y s t e m F r a me wo r k f o r Integrated Synthesis of Mandarin, Min-n a n , a n d Ha k k a S p e e c h \" , International Journal of Computational Linguistics and Chinese Language Processing, Vol. 12, No. 4, pp. 371-390, 2007.", | |
| "links": null | |
| }, | |
| "BIBREF9": { | |
| "ref_id": "b9", | |
| "title": "Fundamentals of Speech Recognition", | |
| "authors": [ | |
| { | |
| "first": "L", | |
| "middle": [], | |
| "last": "Rabiner", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "B", | |
| "middle": [ | |
| "H" | |
| ], | |
| "last": "Juang", | |
| "suffix": "" | |
| } | |
| ], | |
| "year": 1993, | |
| "venue": "", | |
| "volume": "", | |
| "issue": "", | |
| "pages": "", | |
| "other_ids": {}, | |
| "num": null, | |
| "urls": [], | |
| "raw_text": "Rabiner, L. and B. H. Juang, Fundamentals of Speech Recognition, Prentice Hall, Englewood Cliffs, 1993.", | |
| "links": null | |
| }, | |
| "BIBREF10": { | |
| "ref_id": "b10", | |
| "title": "Speech Communication: Human and Machine, 2'", | |
| "authors": [ | |
| { | |
| "first": "D", | |
| "middle": [], | |
| "last": "O`shaughnessy", | |
| "suffix": "" | |
| } | |
| ], | |
| "year": 2000, | |
| "venue": "", | |
| "volume": "", | |
| "issue": "", | |
| "pages": "", | |
| "other_ids": {}, | |
| "num": null, | |
| "urls": [], | |
| "raw_text": "O`Shaughnessy, D., Speech Communication: Human and Machine, 2' nd ed., IEEE Press, 2000.", | |
| "links": null | |
| }, | |
| "BIBREF11": { | |
| "ref_id": "b11", | |
| "title": "ROCLING XVI)\uff0c\u53f0\u5317\uff0c\u7b2c 325-334 \u9801", | |
| "authors": [ | |
| { | |
| "first": "\u53e4\u9d3b\u708e\u3001\u5f35\u5c0f\u82ac\u3001\u5433\u4fca\u6b23\uff0c", | |
| "middle": [], | |
| "last": "\u300c\u4eff\u8d99\u6c0f\u97f3\u9ad8\u5c3a\u5ea6\u4e4b\u57fa\u9031\u8ecc\u8de1\u6b63\u898f\u5316\u65b9\u6cd5\u53ca\u5176\u61c9\u7528\u300d", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "", | |
| "middle": [], | |
| "last": "\u5341\u516d\u5c46\u81ea\u7136\u8a9e\u8a00\u8207\u8a9e\u97f3\u8655\u7406\u7814\u8a0e\u6703", | |
| "suffix": "" | |
| } | |
| ], | |
| "year": 2004, | |
| "venue": "", | |
| "volume": "", | |
| "issue": "", | |
| "pages": "", | |
| "other_ids": {}, | |
| "num": null, | |
| "urls": [], | |
| "raw_text": "\u53e4\u9d3b\u708e\u3001\u5f35\u5c0f\u82ac\u3001\u5433\u4fca\u6b23\uff0c \u300c\u4eff\u8d99\u6c0f\u97f3\u9ad8\u5c3a\u5ea6\u4e4b\u57fa\u9031\u8ecc\u8de1\u6b63\u898f\u5316\u65b9\u6cd5\u53ca\u5176\u61c9\u7528\u300d \uff0c\u7b2c \u5341\u516d\u5c46\u81ea\u7136\u8a9e\u8a00\u8207\u8a9e\u97f3\u8655\u7406\u7814\u8a0e\u6703 (ROCLING XVI)\uff0c\u53f0\u5317\uff0c\u7b2c 325-334 \u9801, 2004\u3002", | |
| "links": null | |
| }, | |
| "BIBREF12": { | |
| "ref_id": "b12", | |
| "title": "A Sentence-Pitch-Contour Generation Method Using VQ/HMM for Mandarin Text-to-speech", | |
| "authors": [ | |
| { | |
| "first": "Hung-Yan", | |
| "middle": [], | |
| "last": "Gu", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "Chung-Chieh", | |
| "middle": [], | |
| "last": "Yang", | |
| "suffix": "" | |
| } | |
| ], | |
| "year": 2000, | |
| "venue": "International Symposium on Chinese Spoken Language Processing", | |
| "volume": "", | |
| "issue": "", | |
| "pages": "125--128", | |
| "other_ids": {}, | |
| "num": null, | |
| "urls": [], | |
| "raw_text": "Gu, Hung-Yan and Chung-Chieh Yang, \"A Sentence-Pitch-Contour Generation Method Using VQ/HMM for Mandarin Text-to-speech\", International Symposium on Chinese Spoken Language Processing, Beijing, pp. 125-128, 2000.", | |
| "links": null | |
| }, | |
| "BIBREF13": { | |
| "ref_id": "b13", | |
| "title": "Harmonic plus Noise Models for Speech, combined with Statistical Methods, for Speech and Speaker Modification", | |
| "authors": [ | |
| { | |
| "first": "Yannis", | |
| "middle": [], | |
| "last": "Stylianou", | |
| "suffix": "" | |
| } | |
| ], | |
| "year": 1996, | |
| "venue": "", | |
| "volume": "", | |
| "issue": "", | |
| "pages": "", | |
| "other_ids": {}, | |
| "num": null, | |
| "urls": [], | |
| "raw_text": "Yannis Stylianou, Harmonic plus Noise Models for Speech, combined with Statistical Methods, for Speech and Speaker Modification, Ph.D. Dissertation, Ecole Nationale Sup erieure des Telecommunications, Paris, France, 1996.", | |
| "links": null | |
| }, | |
| "BIBREF14": { | |
| "ref_id": "b14", | |
| "title": "\u53e4\u9d3b\u708e\u3001\u5ed6\u7687\u91cf\uff0c \u300c\u7528\u65bc\u570b\u8a9e\u6b4c\u8072\u5408\u6210\u4e4b\u8ae7\u6ce2\u52a0\u566a\u97f3\u6a21\u578b\u7684\u6539\u9032\u7814\u7a76\u300d \uff0cWOCMAT \u570b\u969b\u96fb\u8166\u97f3\u6a02\u8207\u97f3\u8a0a\u6280\u8853\u7814\u8a0e\u6703\uff0c\u53f0\u5317\uff0csession 2 (\u97f3\u8a0a\u8655\u7406 I)\uff0c2006\u3002", | |
| "authors": [], | |
| "year": null, | |
| "venue": "", | |
| "volume": "", | |
| "issue": "", | |
| "pages": "", | |
| "other_ids": {}, | |
| "num": null, | |
| "urls": [], | |
| "raw_text": "\u53e4\u9d3b\u708e\u3001\u5ed6\u7687\u91cf\uff0c \u300c\u7528\u65bc\u570b\u8a9e\u6b4c\u8072\u5408\u6210\u4e4b\u8ae7\u6ce2\u52a0\u566a\u97f3\u6a21\u578b\u7684\u6539\u9032\u7814\u7a76\u300d \uff0cWOCMAT \u570b\u969b\u96fb\u8166\u97f3\u6a02\u8207\u97f3\u8a0a\u6280\u8853\u7814\u8a0e\u6703\uff0c\u53f0\u5317\uff0csession 2 (\u97f3\u8a0a\u8655\u7406 I)\uff0c2006\u3002", | |
| "links": null | |
| } | |
| }, | |
| "ref_entries": { | |
| "FIGREF0": { | |
| "type_str": "figure", | |
| "uris": null, | |
| "num": null, | |
| "text": "\u7531\u524d\u4eba\u7684\u7814\u7a76\u6210\u679c\u53ef\u77e5\uff0c\u8981\u5408\u6210\u51fa\u81ea\u7136\u3001\u6d41\u66a2\u7684\u570b\u8a9e\u8a9e\u97f3\uff0c\u97fb\u5f8b(prosody)\u53c3\u6578\u7684\u5851 \u6a21(modeling)\u53ca\u6578\u503c\u7522\u751f\u626e\u6f14\u91cd\u8981\u7684\u89d2\u8272[1,2,3]\u3002\u4e00\u822c\u88ab\u6b78\u5c6c\u70ba\u97fb\u5f8b\u53c3\u6578\u7684\u8a9e\u97f3\u7279 \u6027\uff0c\u5305\u62ec\uff1a\u97f3\u7bc0\u7684\u57fa\u9031\u8ecc\u8de1(pitch-contour)\u3001\u6642\u9577(duration)\u3001\u97f3\u5f37(amplitude)\u3001\u53ca\u97f3 \u7bc0\u524d\u505c\u9813(pause)\u7b49\u3002\u6211\u5011\u4f9d\u64da\u904e\u53bb\u7684\u7814\u7a76\u7d93\u9a57\u767c\u73fe\uff0c\u7576\u63a1\u53d6 model based \u7684\u7814\u7a76\u65b9\u5411 \u6642\uff0c\u4e5f\u5c31\u662f\u97fb\u5f8b\u53c3\u6578\u7522\u751f\u548c\u4fe1\u865f\u6ce2\u5f62\u5408\u6210\u5206\u958b\u8655\u7406\u7684\u4f5c\u6cd5\uff0c\u5c31\u7b97\u662f\u6211\u5011\u7684\u97fb\u5f8b\u6a21\u578b \u5df2\u7d93\u53ef\u4ee5\u7522\u751f\u51fa\u76f8\u7576\u81ea\u7136\u7684\u97fb\u5f8b\u53c3\u6578\u503c\uff0c\u4f46\u662f\u5408\u6210\u51fa\u7684\u8a9e\u97f3\u4fe1\u865f\uff0c\u807d\u8d77\u4f86\u5c31\u662f\u4e0d\u50cf \u4eba \u8b1b \u7684 \u90a3 \u9ebc \u9806 \u66a2 \u3002 \u6240 \u4ee5 \u6703 \u9019 \u6a23 \u5730 \u5177 \u6709 \u4e0d \u932f \u7684 \u81ea \u7136 \u5ea6 (naturalness) \u800c \u6b20 \u7f3a \u6d41 \u66a2 \u5ea6 (fluency)\uff0c\u6211\u5011\u5148\u524d\u6aa2\u8a0e\u6642\uff0c\u8a8d\u70ba\u662f\u56e0\u70ba\u76f8\u9130\u7684\u5408\u6210\u55ae\u5143(\u97f3\u7bc0)\u4e32\u63a5\u6642\uff0c\u908a\u754c\u4e0a\u7684\u5171 \u632f\u5cf0\u8ecc\u8de1(formant trace)\u6c92\u6709\u5e73\u9806\u8f49\u79fb\u6240\u9020\u6210\uff0c\u56e0\u6b64\u6211\u5011\u4fbf\u7814\u7a76\u4e86\u4e00\u7a2e\u89e3\u6c7a\u5171\u632f\u5cf0\u8ecc \u8de1\u5e73\u9806\u8f49\u79fb\u554f\u984c\u7684\u4f5c\u6cd5[4]\u3002\u4f7f\u7528\u6b64\u4f5c\u6cd5\u5f8c\uff0c\u7531\u8046\u807d\u5408\u6210\u7684\u8a9e\u97f3\u767c\u73fe\uff0c\u6d41\u66a2\u6027\u662f\u53ef\u4ee5 \u7372\u5f97\u4e00\u4e9b\u6539\u9032\uff0c\u4f46\u662f\u8ddd\u96e2\u4eba\u8b1b\u8a71\u7684\u6d41\u66a2\u6027\uff0c\u4ecd\u7136\u5b58\u5728\u8457\u660e\u986f\u7684\u5dee\u8ddd\u3002 \u6700\u8fd1\u56de\u9867\u4e00\u4e9b\u6587\u737b\u5f8c\u767c\u73fe\uff0c\u6211\u5011\u6240\u95dc\u5fc3\u7684\u6d41\u66a2\u6027\u4e0d\u8db3\u7684\u554f\u984c\uff0c\u5176\u5be6\u5df2\u7d93\u6709\u5176\u4ed6 \u7814\u7a76\u8005\u6ce8\u610f\u5230\u4e86[5,6,7]\uff0c\u4ed6\u5011\u63d0\u51fa\u7684\u4e00\u7a2e\u4f5c\u6cd5\u662f\uff0c\u4ee5 HMM(hidden Markov Model)\u6a21 \u578b\u7684\u6578\u500b\u72c0\u614b\uff0c\u4f86\u5207\u5272\u4e00\u500b\u97f3\u7bc0\u7684\u6642\u9577\u6210\u70ba\u6578\u500b\u6642\u9593\u7247\u65b7\uff0c\u518d\u5206\u5225\u53bb\u638c\u63e1\u5404\u7247\u6bb5\u4e0a \u7684\u983b\u8b5c\u7279\u6027(\u4f8b\u5982\u983b\u8b5c\u5305\u7d61, spectrum envelope, \u7684\u5f62\u72c0)\uff0c\u4e26\u4e14\u4ee5\u7279\u5b9a\u7684\u72c0\u614b\u99d0\u7559 (state staying)\u6a5f\u7387\u5206\u4f48\u4f86\u638c\u63e1\u5728\u5404\u500b\u72c0\u614b\u4e0a\u6240\u61c9\u505c\u7559\u7684\u6642\u9593\u9577\u5ea6\u3002\u9019\u6a23\u7684\u4f5c\u6cd5\uff0c\u4ee5" | |
| }, | |
| "FIGREF1": { | |
| "type_str": "figure", | |
| "uris": null, | |
| "num": null, | |
| "text": "\u5316\u7684\u6642\u9593\u9ede\uff0c\u800c\u7e31\u8ef8\u8868\u793a\u983b\u6f14\u53c3\u6578\u6578\u503c\u3002\u6bd4\u8f03\u5716 6(a)\u8207\u5716 6(b)\u53ef\u767c\u73fe\uff0c\u5b83\u5011\u7684\u76f8\u540c \u9ede\u662f\uff0c\u5c0d\u61c9\u97f3\u7bc0\u7684\u983b\u6f14\u8def\u5f91\u5177\u6709\u76f8\u540c\u7684\u8d70\u5411\u8da8\u52e2\uff0c\u4f8b\u5982\u5716 6(a)\u88e1/cing2/\u7684\u983b\u6f14\u8def\u5f91 \u884c\u8d70\u4e2d\u9593\u7dda(\u5de6\u4e0b\u89d2\u81f3\u53f3\u4e0a\u89d2\u4e4b\u76f4\u7dda)\u7684\u4e0b\u65b9\uff0c\u800c/ba3/\u5247\u884c\u8d70\u4e2d\u9593\u7dda\u7684\u4e0a\u65b9\uff0c\u9019\u6a23\u7684 \u73fe\u8c61\u4e5f\u53ef\u5728\u5716 6(b)\u88e1\u770b\u5230\u3002\u81f3\u65bc\u4e0d\u540c\u9ede\u65b9\u9762\uff0c\u5716 6(a)\u88e1\u539f\u59cb\u97f3\u7bc0\u7684\u983b\u6f14\u8def\u5f91\uff0c\u5176\u659c \u7387\u8b8a\u5316\u8f03\u5927\uff0c\u800c\u5716 6(b)\u88e1\u7684\u659c\u7387\u8b8a\u5316\u8f03\u5c0f\uff0c\u56e0\u6b64\u6703\u611f\u89ba\u8f03\u5e73\u9806\uff1b\u6b64\u5916\uff0c\u5716 6(a)\u88e1\u7684 \u983b\u6f14\u8def\u5f91\u6703\u504f\u96e2\u4e2d\u9593\u7dda\u8f03\u9060\uff0c\u800c\u5716 6(b)\u88e1\u7684\u983b\u6f14\u8def\u5f91\u5247\u504f\u96e2\u5f97\u8f03\u5c11\u3002\u6240\u4ee5\u4e00\u822c\u4f86\u8aaa\uff0c ANN \u983b\u6f14\u6a21\u578b\u6240\u7522\u751f\u51fa\u7684\u983b\u6f14\u8def\u5f91\uff0c\u53ef\u4ee5\u4fdd\u6709\u8def\u5f91\u7684\u8d70\u5411\u8da8\u52e2\uff0c\u4f46\u662f\u8def\u5f91\u6709\u5411\u4e2d\u9593" | |
| }, | |
| "FIGREF2": { | |
| "type_str": "figure", | |
| "uris": null, | |
| "num": null, | |
| "text": "" | |
| }, | |
| "TABREF2": { | |
| "type_str": "table", | |
| "html": null, | |
| "text": "Va \u8868\u793a\uff1b\u53e6\u5916\uff0c\u518d\u4ee4\" \u983b\u6f14\u53c3\u6578\u7522\u751f\" \u65b9\u584a\uff0c\u4ee5 ANN \u983b\u6f14\u6a21 \u578b\u4f86\u7522\u751f\u51fa\u983b\u6f14\u53c3\u6578\uff0c\u518d\u62ff\u53bb\u4f5c\u8a9e\u97f3\u5408\u6210\uff0c\u800c\u5f97\u5230\u7684\u8a9e\u97f3\u6a94\u6848\u4ee5 Vb \u8868\u793a\u3002\u4ee5\u524d\u8ff0 \u5169 \u7a2e \u65b9 \u5f0f \u7522 \u751f \u51fa \u7684 \u8a9e \u97f3 \u6a94 \u6848 \uff0c \u6211 \u5011 \u4e5f \u5df2 \u7d93 \u653e \u5728 \u7db2 \u9801 \u4e0a http:// guhy.csie.ntust.edu.tw/spmdtw/\uff0c\u800c\u53ef\u8b93\u6709\u8208\u8da3\u8005\u4f86\u4f5c\u8a66\u807d\u548c\u6bd4\u8f03\u3002", | |
| "content": "<table><tr><td>\u5408\u6210\u51fa\u7684\u8a9e\u97f3\u6a94\u6848\uff0c\u4ee5 \u63a5\u8457\uff0c\u6211\u5011\u5c07\u5408\u6210\u7684\u8a9e\u97f3\u6a94\u6848 Va \u548c Vb\uff0c\u5206\u5225\u8b93 9 \u4f4d\u53d7\u6e2c\u8005\u4f86\u9032\u884c\u807d\u6e2c\u8a55\u4f30\u3002</td></tr><tr><td>\u5206\u6578\u662f\u4ee5\u6bd4\u8f03\u7684\u65b9\u5f0f\u4f86\u8a55\u5b9a\uff0c\u7531\u53d7\u6e2c\u8005\u5c31\u524d\u5f8c\u5169\u500b\u64ad\u653e\u7684\u8a9e\u97f3\u97f3\u6a94(\u5148\u64ad Va \u518d\u64ad</td></tr><tr><td>Vb)\uff0c\u8a55\u51fa\u90a3\u4e00\u500b\u6bd4\u8f03\u9806\u66a2\uff0c\u5728\u6b64\" \u9806\u66a2\" \u7684\u5b9a\u7fa9\u662f\uff0c\u6574\u53e5\u8a71\u7684\u591a\u500b\u97f3\u7bc0\u807d\u8d77\u4f86\uff0c\u9023\u63a5</td></tr><tr><td>\u5f97\u5f88\u7dca\u5bc6\u800c\u6c92\u6709\u9846\u9846\u7c92\u7c92(\u5f62\u5bb9\u97f3\u7bc0\u50cf\u662f\u5404\u81ea\u7368\u7acb\u5730\u5728\u767c\u97f3)\u7684\u611f\u89ba\u3002\u8a55\u5206\u7684\u65b9\u5f0f\u662f</td></tr><tr><td>\u7d66\u4e00\u500b-2 \u5230 2 \u4e4b\u9593\u7684\u6574\u6578\u503c\uff0c\u6b63\u503c\u4ee3\u8868\u7b2c\u4e8c\u500b\u64ad\u653e\u7684\u8a9e\u97f3\u6a94\u6bd4\u7b2c\u4e00\u500b\u64ad\u653e\u7684\u597d\uff0c1</td></tr><tr><td>\u548c 2 \u4ee3\u8868\u7a0b\u5ea6\u4e0a\u7684\u5dee\u5225\uff0c2 \u8868\u793a\u7b2c\u4e8c\u500b\u97f3\u6a94\u6bd4\u7b2c\u4e00\u500b\u660e\u986f\u7684\u597d\uff0c1 \u5247\u662f\u8868\u793a\u7a0d\u597d\u4e00\u4e9b\uff0c</td></tr><tr><td>\u800c-1 \u548c-2 \u4ee3\u8868\u7b2c\u4e8c\u500b\u64ad\u653e\u7684\u8a9e\u97f3\u97f3\u6a94\u6bd4\u7b2c\u4e00\u500b\u64ad\u653e\u7684\u8f03\u5dee\uff0c-2 \u8868\u793a\u660e\u986f\u7684\u8f03\u5dee\uff0c-1</td></tr><tr><td>\u8868\u793a\u7a0d\u5dee\u4e00\u4e9b\uff0c\u81f3\u65bc 0 \u5247\u4ee3\u8868\u807d\u4e0d\u51fa\u5169\u500b\u8a9e\u97f3\u97f3\u6a94\u7684\u5dee\u7570\u3002\u807d\u6e2c\u5be6\u9a57\u5f8c\uff0c\u5c07\u53d7\u6e2c\u8005</td></tr><tr><td>\u7684\u8a55\u5206\u4f5c\u5e73\u5747\uff0c\u7d50\u679c\u5f97\u5230\u4e86 1.33 \u4e4b\u5e73\u5747\u5206\u6578\uff0c\u9019\u8868\u793a Vb \u7684\u78ba\u6bd4 Va \u6d41\u66a2\uff0c\u4e26\u4e14\u6d41\u66a2</td></tr><tr><td>\u5ea6\u7684\u63d0\u5347\u662f\u611f\u89ba\u5f97\u51fa\u4f86\u7684\uff0c\u81f3\u65bc\u63d0\u5347\u7684\u7a0b\u5ea6\u9084\u4e0d\u7b97\u5f88\u5927\uff0c\u6211\u5011\u63a8\u6e2c\u6709\u5e7e\u4f4d\u53d7\u6e2c\u8005\uff0c</td></tr><tr><td>\u53ef\u80fd\u9084\u672a\u628a\u81ea\u7136\u5ea6\u548c\u6d41\u66a2\u5ea6\u7684\u5b9a\u7fa9\u5340\u5206\u51fa\u4f86\u3002</td></tr><tr><td>\u4e94\u3001\u7d50\u8ad6</td></tr><tr><td>\u672c\u6587\u63d0\u51fa\u4e86\u4e00\u500b\u4ee5 DTW \u52a0\u4e0a ANN \u4f86\u5efa\u7acb\u983b\u6f14\u53c3\u6578\u6a21\u578b\u7684\u65b9\u6cd5\u3002\u5c0d\u65bc\u4ee5 DTW \u5339\u914d</td></tr><tr><td>\u76ee\u6a19\u97f3\u7bc0\u548c\u53c3\u8003\u97f3\u7bc0\u7684\u6700\u4f73\u8def\u5f91\u6642\uff0c\u7121\u8072\u8072\u6bcd\u958b\u982d\u7684\u97f3\u7bc0\uff0c\u5e38\u5e38\u6703\u767c\u751f\u5169\u97f3\u7bc0\u7684\u8072\u3001</td></tr><tr><td>\u97fb\u6bcd\u908a\u754c\u9ede\u7121\u6cd5\u6b63\u78ba\u5c0d\u9f4a\u7684\u554f\u984c\uff0c\u9019\u53ef\u7d93\u7531\u97f3\u7bc0\u5206\u6bb5\u548c\u5169\u6bb5\u5f0f DTW \u7684\u4f5c\u6cd5\u4f86\u89e3\u6c7a\u3002</td></tr><tr><td>\u6b64\u5916\uff0c\u5169\u500b\u8981\u4f5c\u5339\u914d\u7684\u97f3\u7bc0\uff0c\u82e5\u767c\u751f\u6642\u9593\u9577\u5ea6\u76f8\u5dee\u592a\u591a\u7684\u554f\u984c\uff0c\u9019\u53ef\u4ee5\u8abf\u6574 frame shift</td></tr><tr><td>\u9577\u5ea6\u7684\u4f5c\u6cd5\u4f86\u89e3\u6c7a\u3002</td></tr><tr><td>\u7576\u5efa\u7acb\u983b\u6f14\u53c3\u6578\u6a21\u578b\u4e4b\u5f8c\uff0c\u5c07\u5b83\u548c\u6587\u53e5\u5206\u6790\u3001\u97fb\u5f8b\u53c3\u6578\u7522\u751f\u3001\u4fe1\u865f\u6ce2\u5f62\u5408\u6210\u7b49</td></tr><tr><td>\u6a21\u7d44\u4f5c\u6574\u5408\uff0c\u7528\u4ee5\u5408\u6210\u51fa\u570b\u8a9e\u8a9e\u97f3\u4fe1\u865f\uff0c\u518d\u628a\u5408\u6210\u51fa\u7684\u8a9e\u97f3\u62ff\u53bb\u4f5c\u807d\u6e2c\u5be6\u9a57\uff0c\u521d\u6b65</td></tr><tr><td>\u7d50\u679c\u986f\u793a\uff0c\u6211\u5011\u7684\u983b\u6f14\u53c3\u6578\u6a21\u578b\u7684\u78ba\u53ef\u7528\u4ee5\u63d0\u5347\u5408\u6210\u8a9e\u97f3\u7684\u6d41\u66a2\u5ea6\u3002\u6240\u4ee5\uff0c\u672c\u6587\u63d0</td></tr><tr><td>\u51fa\u7684\u983b\u6f14\u53c3\u6578\u6a21\u578b\uff0c\u53ef\u8aaa\u662f HMM \u4e4b\u5916\u7684\u4e00\u7a2e\u53ef\u884c\u7684\u983b\u8b5c\u6f14\u9032\u6a21\u578b\uff0c\u4e26\u4e14\u5b83\u4e0d\u9700\u8981</td></tr><tr><td>\u548c\u4fe1\u865f\u6ce2\u5f62\u5408\u6210\u6a21\u7d44\u6240\u7528\u7684\u8072\u5b78\u7279\u6027\u53c3\u6578(\u5982 HNM \u7684\u8ae7\u6ce2\u53c3\u6578)\u4e4b\u9593\u6709\u4f9d\u9644\u7684\u95dc\u4fc2</td></tr><tr><td>\u5b58\u5728\uff0c\u4e0d\u904e\u6211\u5011\u7121\u610f\u548c HMM \u70ba\u57fa\u790e\u7684\u5408\u6210\u65b9\u6cd5\uff0c\u53bb\u6bd4\u8f03\u8ab0\u597d\u8ab0\u58de\u3002\u6b64\u5916\uff0c\u4f7f\u7528\u672c</td></tr><tr><td>4.2 \u807d\u6e2c\u5be6\u9a57 \u6587\u7684\u8a9e\u97f3\u5408\u6210\u7cfb\u7d71\u6240\u7372\u5f97\u7684\u8a9e\u97f3\u6d41\u66a2\u6027\uff0c\u53ef\u4ee5\u9a57\u8b49\u97f3\u7bc0\u5167\u983b\u8b5c\u6f14\u9032\u7684\u638c\u63e1\uff0c\u6703\u6bd4\u76f8</td></tr><tr><td>\u9130\u97f3\u7bc0\u4e4b\u9593\u5171\u632f\u5cf0\u8ecc\u8de1\u9023\u7e8c\u6027\u7684\u638c\u63e1\uff0c\u80fd\u5920\u7372\u5f97\u8d85\u904e\u8a31\u591a\u7684\u6548\u76ca\u3002</td></tr><tr><td>\u5408\u6210\u8a9e\u97f3\u7684\u4e00\u7a2e\u8a55\u4f30\u65b9\u6cd5\u662f\u4e3b\u89c0\u7684\u807d\u89ba\u6e2c\u8a66\u3002\u5728\u6b64\u6211\u5011\u9078\u64c7\u4e86\u4e00\u7bc7\u77ed\u6587\uff0c\u7136\u5f8c\u4ee4\u5716</td></tr><tr><td>2 \u7684\" \u983b\u6f14\u53c3\u6578\u7522\u751f\" \u65b9\u584a\uff0c\u5148\u76f4\u63a5\u7522\u751f\u51fa\u7dda\u6027\u6bd4\u4f8b\u4e4b\u983b\u6f14\u53c3\u6578\uff0c\u800c\u4ee5\u6b64\u7a2e\u983b\u6f14\u53c3\u6578</td></tr></table>", | |
| "num": null | |
| } | |
| } | |
| } | |
| } |