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題名:探討資訊科技在音樂製作產業可持續發展的作用
作者:陳宏佳
作者(外文):CHEN, HUNG-CHIA
校院名稱:國立臺北科技大學
系所名稱:管理學院管理博士班
指導教授:翁頌舜
學位類別:博士
出版日期:2020
主題關鍵詞:音樂製作產業音樂藝術資訊科技機器學習深度學習可持續發展Music Production IndustryMusic ArtInformation TechnologyMachine LearningDeep LearningSustainable Development
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資訊科技中的雲端運算、大數據以及人工智慧的突破,帶來許多產業上的革命,同時也衝擊了產業鏈之間的關係。音樂進入了數位化之後,音樂製作的過程也造成巨大的變革,音樂內容的製作與機器學習發展的應用正在與人類獨特的藝術創造能力產生衝擊,音樂藝術內容對於聽眾、技術發展、市場行銷人員產生了不同角度的需求以及認知的改變。在產業的生態系統中,科技往往會扮演產業結構破壞及再造的關鍵因素,本研究探討以及提出未來音樂製作的持續性發展的管理意涵,提供未來音樂製作相關開發及發展的策略性思考。本研究透過文獻探討建構研究模型,萃取相關因素,經問題解析設計並透過以台灣目前音樂製作人員為主的問卷調查,透過PLS方法進行量化統計分析,以探討目前資訊科技領域中最為熱門的深度學習技術對於音樂製作過程中的影響關係。另針對科技使用轉換成本以及深度學習對於音樂製作內容以及呈現適切性進行中介關係的分析探討,最後提出管理意涵以及不同音樂製作產業從業人員持續性發展的建議。本研究顯示資訊科技的機器學習自動創作音樂內容的應用目前並無法取代音樂藝術的創作價值及聽眾對音樂內容的滿意,資訊科技在音樂製作產業中舉足輕重,但也必須更謹慎其應用方向。聽眾必須加強對於音樂藝術認知的能力,才能讓音樂製作從業人員的音樂內容受到更多肯定及需要,同時音樂製作人員需要更具備科技使用的能力以及危機意識,音樂製作從業人員必須與時俱進。
The breakthroughs in cloud computing, big data and artificial intelligence in information technology have brought about many revolutions in the industry. Since music has entered digitalization, whether it is in the performance of finished music and the process of back-end music production has also caused huge Changes, the development of information technology also impacted the relationship between industrial chains.
The production of music content and the application of the development of machine learning are having an impact on the unique artistic creativity of human beings. Music art content has generated different perspectives and cognitive changes for listeners, technology development, and marketing personnel. In the industrial ecosystem, technology often plays a key role in the destruction and reconstruction of the industrial structure. This study explores and proposes management implications for the sustainable development of future music production, and provides strategic thinking about the future development and development of music production.
This study explores the construction of research models through literature, extracts relevant factors, analyzes and designs problems, and conducts quantitative statistical analysis through the PLS method through questionnaires based on current music producers in Taiwan to explore the most popular depth in the field of information technology. The relationship between learning technology and the process of music production. In addition, it analyzes and discusses the intermediary relationship between technology use conversion costs and deep learning on music production content and presentation suitability, and finally puts forward management implications and suggestions for the continuous development of practitioners in different music production industries.
This study shows that the application of information technology's machine learning to automatically create music content cannot currently replace the creative value of music art and the satisfaction of listeners with music content. Information technology plays an important role in the music production industry, but it must also be more cautious about its application direction. Listeners must strengthen their ability to understand the art of music, so that the music content of music production practitioners can be more affirmed and needed. At the same time, music producers need to be more capable of using technology and crisis awareness. Music production practitioners must keep pace with the times.
參考文獻

[1]S. J. Russell and P. Norvig, Artificial intelligence: a modern approach. Malaysia; Pearson Education Limited, 2016.
[2]Qingzhu, Music Talk · General Theory of Music. Jilin Publishing Group Co., Ltd., 2010.
[3]E. Gao, "Some thoughts on art," social science front, no. 3, pp. 62-81, 1986.
[4]M. h. Chung, "On the Authenticity of Music Arts and Its Conditions of Digitization," master, National Sun Yat-sen University, 2011.
[5]Y. LeCun, Y. Bengio, and G. Hinton, "Deep learning," Nature, vol. 521, no. 7553, pp. 436-444, 2015.
[6]J. Schmidhuber, "Deep learning in neural networks: An overview," Neural networks, vol. 61, pp. 85-117, 2015.
[7]L. Deng and D. Yu, "Deep learning: methods and applications," Foundations and Trends® in Signal Processing, vol. 7, no. 3–4, pp. 197-387, 2014.
[8]N. Boulanger-Lewandowski, Y. Bengio, and P. Vincent, "Modeling temporal dependencies in high-dimensional sequences: Application to polyphonic music generation and transcription," arXiv preprint arXiv:1206.6392, 2012.
[9]J. Chung, C. Gulcehre, K. Cho, and Y. Bengio, "Empirical evaluation of gated recurrent neural networks on sequence modeling," arXiv preprint arXiv:1412.3555, 2014.
[10]D. Eck and J. Schmidhuber, "A first look at music composition using lstm recurrent neural networks," Istituto Dalle Molle Di Studi Sull Intelligenza Artificiale, vol. 103, 2002.
[11]G. Hadjeres and F. Pachet, "DeepBach: a Steerable Model for Bach chorales generation," arXiv preprint arXiv:1612.01010, 2016.
[12]D. Hörnel and W. Menzel, "Learning musical structure and style with neural networks," Computer Music Journal, vol. 22, no. 4, pp. 44-62, 1998.
[13]I. Malik, "Neural Translation of Musical Style," master, COMPUTER SCIENCE, University of Bristol, 2017.
[14]J.-P. Briot, G. Hadjeres, and F. Pachet, "Deep Learning Techniques for Music Generation," ed: Springer, 2018.
[15]J. Engel et al., "Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders," arXiv preprint arXiv:1704.01279, 2017.
[16]T. Kubo. Next Music Production by Google Magenta. Available: https://www.slideshare.net/takahirokubo7792/tech-circle-23-next-music-productionby-google-magenta
[17]T. Kubo. (2017). StepByStep for Session with Magenta. Available: http://qiita.com/icoxfog417/private/3c365bd762f6b08b683b
[18]B. L. Sturm et al., "Machine learning research that matters for music creation: A case study," Journal of New Music Research, vol. 48, no. 1, pp. 36-55, 2019.
[19]C. Greenberg, Avantgarde und Kitsch. na, 1939.
[20]T.-J. SYU, Art Correspondence research. National Taiwan Museum, 1987.
[21]S. Meisiek and D. J. J. o. B. R. Barry, "Finding the sweet spot between art and business in analogically mediated inquiry," Journal of Business Research, vol. 85, pp. 476-483, 2018.
[22]A. Strauß, "Value-creation processes in artistic interventions and beyond: Engaging conflicting orders of worth," Journal of Business Research, vol. 85, pp. 540-545, 2018.
[23]C.-J. Chang, Talk about music. Cultuspeak Publishing Co., Ltd., 1999.
[24]J. W. Rivkin and G. Meier, "BMG entertainment," in Harvard Business School vol. 701-003, ed, 2000.
[25]G. T. Geis and G. S. Geis, Digital deals: Strategies for selecting and structuring partnerships. McGraw-Hill New York, 2001.
[26]J. Mingshan, "Guilty by Listening to MP3? --The First Spasm of Wrestle of Digital Musical Technology, Law, and The Music Industry in Taiwan," Master, National Cheng Kung University, 2002.
[27]D. Austerberry, The technology of video and audio streaming. Routledge, 2013.
[28]K. Sangani, "Music's hurt locker [record industry]," Engineering & Technology, vol. 5, no. 13, pp. 30-31, 2010.
[29]J. B. Meisel and T. S. Sullivan, "The impact of the Internet on the law and economics of the music industry," info, vol. 4, pp. 16-22, 2002.
[30]P. Preston and J. Rogers, "Social networks, legal innovations and the “new” music industry," info, vol. 13, pp. 8-19, 2011.
[31]R. J. Burgess, The art of music production: the theory and practice. Oxford University Press, 2013.
[32]M. Zager, Music production: for producers, composers, arrangers, and students. Scarecrow Press, 2011.
[33]S.-S. Weng and H.-C. Chen, "Exploring the Role of Deep Learning Technology in the Sustainable Development of the Music Production Industry," Sustainability, vol. 12, no. 2, p. 625, 2020.
[34]Y.-C. Tseng, "A Study on the Musical Function and Aesthetical Role of Sound Technology, as Exemplified at Some Representative Electroacoustic Works Composed Within a Quarter Century after 1948," Kuandu Music Journal, no. 4, pp. 75-91, 2006.
[35]Y.-h. Lo, "From the application of computer and audio technology to explore the concept of digital music creation and practice," ed, 2009, p. 58.
[36]J. Braasch, "A cybernetic model approach for free jazz improvisations," Kybernetes, vol. 40, pp. 984-994, 2011.
[37]J. Rogers. (2016). Google's 'Magenta': A.I. Comes to Moogfest. Available: http://www.exitevent.com/article/google-magenta-machine-learning-moogfest-052316
[38]R. E. Radocy and J. D. Boyle, Psychological foundations of musical behavior. Charles C Thomas Publisher, 2012.
[39]I.-H. Lee, "The Research of Application of Digital Sound Technology into Music Composing," ed, 2006, p. 91.
[40]S. Haykin and B. Van Veen, Signals and systems. John Wiley & Sons, 2007.
[41]Y.-C. Tseng. (2014). Aesthetics / Theoretical Development Related to Electronic Music. Available: http://yc-tseng.blogspot.tw/2014/09/messiaen-1947-1945-1864-herman.html
[42]游士昕. 不只是大聲!淺談Mastering,聲音工業的最後一道把關!. Available: http://a85115230.pixnet.net/blog/post/307764916-不只是大聲!淺談mastering,聲音工業的最後一
[43]A. Osterwalder and Y. Pigneur, "An ontology for e-business models," Value Creation from E-Business Models, pp. 65-97, 2004.
[44]A. Osterwalder and Y. Pigneur, "Clarifying Business Models : Origins , Present , and Future of the Concept Clarifying Business Models : Origins , Present , and Future of the Concept," Communications of the association for Information Systems, vol. 15, pp. 1-125, 2005.
[45]Yu-YingYeh, "A Study of Collaborative Commerce Platform of Machinery Industry in the Cloud," master, College of Engineering, National Cheng Kung University, Taiwan, 2012.
[46]Q.-z. Li, C. GUANG, K. ZIH, and FONG, Music General Theory. SHANGHAI BOOKSTOE, 1989.
[47]L.-F. Hsiao, "An Action Research of Art Correspondence Principle Applied to Postmodern Music Appreciation Instruction in Junior high school," master, Department of Art, National Changhua University of Education, 2017.
[48]J.-J. Nattiez, Music and discourse: Toward a semiology of music. Princeton University Press, 1990.
[49]H. Owen, Music theory resource book. Oxford University Press, USA, 2000.
[50]H.-Y. Chen. 音樂的本質、內容與演奏. Available: http://hysylvia.blogspot.com/2015/06/blog-post.html
[51]R. Kamien and A. Kamien, Music: an appreciation. McGraw-Hill New York, NY, 1988.
[52]音樂四要素. Available: http://www.sekiong.net/Music/LITC-MA/intro/intro4.htm
[53]林皙陽, "古典聖樂欣賞 (二) 教會音樂聖乎? 俗乎?-早期音樂篇," 新使者, no. 126, pp. 59-63, 2011.
[54]J.-H. Su, "A Study on Digital Music and its Application in Teaching Based on the Development of Music Creativity," Journal of Liberal Arts and Social Sciences, vol. 6, pp. 85-107, 2010.
[55]S.-Y. LIN, "Explore the connotation of musical creativity and research trends," Music Art Journal, no. 2, pp. 87-118, 2003.
[56]M. Csikszentmihalyi, "The domain of creativity," 1990.
[57]S.-h. Zhang, Creativity: Theory, Technique and Teaching. Wunan Publishing, 2013.
[58]M. Hickey and P. Webster, "Creative thinking in music," Music Educators Journal, vol. 88, no. 1, pp. 19-23, 2001.
[59]S.-C. Tseng, "Memory and Nostalgia in Art Creation," Thesis of Department of Painting and Calligraphy, no. 18, pp. 323-355, 2015.
[60]Y.-B. JHAO, Chinese and foreign art creation psychology. Central cultural relics supply, 1983.
[61]X.-j. Li, Create thinking teaching research. Taiwan Book Store, 1987.
[62]P. R. Webster, "Creativity as creative thinking," Music Educators Journal, vol. 76, no. 9, pp. 22-28, 1990.
[63]H.-J. HUANG, Personality psychology. Psychological Publishing, 1999.
[64]A. Bandura, "Human agency in social cognitive theory," American psychologist, vol. 44, no. 9, p. 1175, 1989.
[65]C.-H. GOU, Multivariate Art Appreciation. New Wun Ching Developmental Publishing, 2012.
[66]L. Bishop and W. Goebl, "Performers and an active audience: Movement in music production and perception," Jahrbuch Musikpsychologie, vol. 28, pp. 1-17, 2018.
[67]F. Jameson, Postmodernism, or, the cultural logic of late capitalism. Duke University Press, 1991.
[68]A. C. Danto, After the end of art: contemporary art and historical barriers. rye field, 2010.
[69]M. Featherstone, Consumer culture and postmodernism. Sage, 2007.
[70]J. SONG, "Western music from modern to postmodern," ed: Shanghai Music Publishing House, 2004.
[71]C. Greenberg, Art and culture. Guangxi Normal University Press, 2015.
[72]M. Calinescu, Five faces of modernity: modernism, avant-garde, decadence, kitsch, postmodernism. Duke University Press, 1987.
[73]高千惠, 當代文化兿術澀相. 兿術家出版社, 1996.
[74]C.-L. Yang, "The Application of Art Telepathy Theory in the Creation of Self Music," master, College of Music, National Taiwan Normal University, 2000.
[75]藍家蕙, "The Application of Art Correspondence Theory in Music Composition Course of Junior School," master, National Hsinchu University of Education, 2004.
[76]T. W. Adorno and A. G. Rabinbach, "Culture industry reconsidered," New German Critique, no. 6, pp. 12-19, 1975.
[77]M. Horkheimer, T. W. Adorno, and H.-T. LIN, Dialectical Enlightenment. Business Week Publishing, 2008.
[78]S. Frith, W. Straw, and J. Street, The Cambridge companion to pop and rock. Cambridge University Press, 2001.
[79]T. Barnes. (2014). How The Music Industry Is Brainwashing You to Like Bad Pop Songs. Available: https://mic.com/articles/95260/how-the-music-industry-is-brainwashing-you-to-like-bad-pop-songs#.68mXMHn3T
[80]J. Dewey, Art as experience. Penguin, 2005.
[81]M. Horkheimer and T. W. Adorno, Dialectic of Enlightenment: Max Horkheimer and Theodor W. Adorono. Seabury Press New York, 1972.
[82]沈中偉, "科技與學習: 理論與實務," ed: 臺北: 心理出版社, 2008.
[83]廖遠光, "教育科技: 理論與實務 (下冊). 臺北: 學富," 2009.
[84]T. L. Whisler and H. J. Leavitt, "Management in the 1980's," Harvard Business Review, vol. 36, no. 6, pp. 41-48, 1958.
[85]吳明隆, 資訊科技與教學應用: 議題理論與實務. 臺北市: 知城圖書, 2005.
[86]N. G. Carr, "IT doesn't matter," Educause Review, vol. 38, pp. 24-38, 2003.
[87]R. Shackelford et al., "Computing curricula 2005: The overview report," ACM SIGCSE Bulletin, vol. 38, no. 1, pp. 456-457, 2006.
[88]K. S. Proctor, Optimizing and Assessing Information Technology: Improving Business Project Execution. John Wiley & Sons, 2011.
[89]J. Han, J. Pei, and M. Kamber, Data mining: concepts and techniques. Elsevier, 2011.
[90]欒斌, 陳苡任, and 羅凱揚, 電子商務. 滄海, 2011.
[91]R. Viglianti, "MusicXML: An XML Based Approach to Musicological Analysis," in Digital Humanities, Book of Abstracts, ed, 2007, pp. 235-237.
[92]Y. Wan-jun, "From MIDI to MusicXML-The Development of Computer Music Score Information Exchange Format," Entertainment Technology, pp. 45-49, 2014.
[93]P. R. Webster and D. B. Williams, "Experiencing Music Technology," p. 504, 2008.
[94]M. Good, "MusicXML for Notation and Analysis," The Virtual Score: Representation, Retrieval, Restoration,, vol. 12, pp. 113-124, 2001.
[95]A. Kirke and E. R. Miranda, "A survey of computer systems for expressive music performance," ACM Computing Surveys, vol. 42, pp. 1-41, 2009.
[96]E. Begoli and J. Horey, "Design Principles for Effective Knowledge Discovery from Big Data," in 2012 Joint Working IEEE/IFIP Conference on Software Architecture and European Conference on Software Architecture, ed, 2012, pp. 215-218.
[97]Frequency. Available: https://en.wikipedia.org/wiki/Frequency
[98]T. Kirson and J.-y. Lee, "Music Project," 1984.
[99]Pitch and frequency conversion tables. Available: http://www.wendangwang.com/doc/ed839d3519ee3393a78060fa
[100]Why keys are arranged in a geometric sequence. Available: https://wenku.baidu.com/view/ca76790cb52acfc789ebc9bb.html
[101]N. Upadhyay and A. Karmakar, "Spectral Subtractive-Type Algorithms for Enhancement of Noisy Speech: An Integrative Review," … Journal of Image, Graphics and Signal …, vol. 5, pp. 13-22, 2013.
[102]Y. A. Ephraim, H. L.; Roberts, W., "A brief survey of speech enhancement: the electrical engineering handbook," 2006.
[103]Y. Ephraim and I. Cohen, "Recent Advancements in Speech Enhancement," Circuits, signals, and speech and image processing, pp. 385-399, 2006.
[104]Y. Ephraim and Y. Ephraim, "Statistical-Model-Based Speech Enhancement Systems," Proceedings of the IEEE, vol. 80, pp. 1526-1555, 1992.
[105]Y. Gong, "Speech recognition in noisy environments: A survey," Speech Communication, vol. 16, pp. 261-291, 1995.
[106]M. Berouti, R. Schwartz, and J. Makhoul, "Enhancement of speech corrupted by acoustic noise," in ICASSP '79. IEEE International Conference on Acoustics, Speech, and Signal Processing vol. 4, ed, 1979, pp. 208-211.
[107]B. L. Sim, Y. C. Tong, J. S. Chang, and C. T. Tan, "A parametric formulation of the generalized spectral subtraction method," IEEE Transactions on Speech and Audio Processing, vol. 6, pp. 328-336, 1998.
[108]M. Bhatnagar and P. C. Loizou, "A cross-correlation technique for enhancing speech corrupted with correlated noise," 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221), pp. 673-676, 2001.
[109]P. Lockwood and J. Boudy, "Experiments with a nonlinear spectral subtractor (NSS), hidden Markov models and the projection, for robust speech recognition in cars," Speech communication, vol. 11, no. 2-3, pp. 215-228, 1992.
[110]S. Kamath, P. Loizou, and U. States, "a Multi-Band Spectral Subtraction Method for Enhancing Speech Corrupted By Colored Noise an Event-Based Acoustic-Phonetic Approach for Speech Segmentation and E-Set Recognition," in Proceedings of International Conference on Acoustics, Speech, and Signal Processing, Orlando, USA, vol. 4, p. 7803, 2002.
[111]M. A. Abd El-Fattah, M. I. Dessouky, S. M. Diab, and F. E. Abd El-samie, "Speech Enhancement Using an Adaptive Wiener Filtering Approach," Progress In Electromagnetics Research M, vol. 4, pp. 167-184, 2008.
[112]S. O. Non-member and T. Shimamura, "Reinforced Spectral Subtraction Method to Enhance Speech Signal," Evaluation, pp. 242-245, 2001.
[113]P. Sovka, P. Pollak, and J. Kybic, "Extended Spectral Subtraction," in European Signal Processing Conference (EUSIPCO--96, pp. 963-966, 1996.
[114]N. Virag, "Single channel speech enhancement based on masking properties of the human auditory system," IEEE Transactions on Speech and Audio Processing, vol. 7, pp. 126-137, 1999.
[115]S. F. Boll, "Supression of noise in speech using the saber method," Ieee, vol. 3, pp. 606-609, 1978.
[116]S. Boll, "Suppression of acoustic noise in speech using spectral subtraction," IEEE Transactions on Acoustics, Speech and Signal Processing, vol. 27, pp. 113-120, 1979.
[117]S. Boll, "A spectral subtraction algorithm for suppression of acoustic noise in speech," in Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP'79., 1979, vol. 4, pp. 200-203: IEEE.
[118]H. T. Yeh, J. S. Chiou, and T. J. Zhou, "A karaoke system with real-time media merging and sharing functions for a cloud-computing-integrated mobile device," Mathematical Problems in Engineering, vol. 2013, 2013.
[119]A. Tchircoff, "The mostly complete chart of Neural Networks, explained," Towards Data Science, pp. 1-29, 2017.
[120]林東清, "資訊管理: e 化企業的核心競爭力," 臺北市: 智勝文化公司, 2010.
[121]D. Silver and D. Hassabis, "Alphago: Mastering the ancient game of go with machine learning," Research Blog, vol. 9, 2016.
[122]A. Coates, A. Ng, and H. Lee, "An analysis of single-layer networks in unsupervised feature learning," in Proceedings of the fourteenth international conference on artificial intelligence and statistics, 2011, pp. 215-223.
[123]Y. Panagakis and C. Kotropoulos, "Music genre classification via topology preserving non-negative tensor factorization and sparse representations," in 2010 IEEE International Conference on Acoustics, Speech and Signal Processing, 2010, pp. 249-252: IEEE.
[124]P. Hamel and D. Eck, "Learning features from music audio with deep belief networks," in ISMIR, 2010, vol. 10, pp. 339-344: Utrecht, The Netherlands.
[125]M. Henaff, K. Jarrett, K. Kavukcuoglu, and Y. LeCun, "Unsupervised learning of sparse features for scalable audio classification," in ISMIR, 2011, vol. 11, no. 445, p. 2011.
[126]T. Li, M. Ogihara, and Q. Li, "A comparative study on content-based music genre classification," in Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval, 2003, pp. 282-289.
[127]T. Li and G. Tzanetakis, "Factors in automatic musical genre classification of audio signals," in 2003 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (IEEE Cat. No. 03TH8684), 2003, pp. 143-146: IEEE.
[128]Y.-H. Yang, Y.-C. Lin, Y.-F. Su, and H. H. Chen, "A regression approach to music emotion recognition," IEEE Transactions on audio, speech, and language processing, vol. 16, no. 2, pp. 448-457, 2008.
[129]T.-H. Huang, "Large-Scale Music Retrieval System Using Machine Learning Approaches," National Central University, 2016.
[130]林志翰, "基於音樂風格及情緒之內容式音樂資訊檢索系統," 交通大學聲音與音樂創意科技碩士學位學程學位論文, pp. 1-60, 2012.
[131]C. Ames, "Automated composition in retrospect: 1956-1986," Leonardo, pp. 169-185, 1987.
[132]G. Nierhaus, Algorithmic composition: paradigms of automated music generation. Springer Science & Business Media, 2009.
[133]T. B. Holmes and T. Holmes, Electronic and experimental music: pioneers in technology and composition. Psychology Press, 2002.
[134]P. Winsor, PAT-PROC: An Interactive, Pattern-Process, Algorithmic Composition Program. Ann Arbor, MI: Michigan Publishing, University of Michigan Library, 1991.
[135]謝仲其 and 曾毓忠, "依據樂曲分析之演算作曲系統建構," 2012.
[136]L. Deng and D. Yu, "Deep learning: methods and applications," Foundations and trends in signal processing, vol. 7, no. 3–4, pp. 197-387, 2014.
[137]Y. Bengio, Learning deep architectures for AI. Now Publishers Inc, 2009.
[138]G. E. Hinton and R. R. Salakhutdinov, "Reducing the dimensionality of data with neural networks," science, vol. 313, no. 5786, pp. 504-507, 2006.
[139]G. E. Hinton, S. Osindero, and Y.-W. Teh, "A fast learning algorithm for deep belief nets," Neural computation, vol. 18, no. 7, pp. 1527-1554, 2006.
[140]S. Lawrence, C. L. Giles, A. C. Tsoi, and A. D. Back, "Face recognition: A convolutional neural-network approach," IEEE transactions on neural networks, vol. 8, no. 1, pp. 98-113, 1997.
[141]M. I. Jordan, "Serial order: A parallel distributed processing approach," Advances in psychology, vol. 121, pp. 471-495, 1997.
[142]J. L. Elman, "Finding structure in time," Cognitive science, vol. 14, no. 2, pp. 179-211, 1990.
[143]S. Hochreiter and J. Schmidhuber, "Long short-term memory," Neural computation, vol. 9, no. 8, pp. 1735-1780, 1997.
[144]C. WANG. (2016). About deep learning, this may be your easiest to read into science posted. Available: https://read01.com/PMk04g.html#.WYnIsVGg-Uk
[145]Zouxy. (2016). Daniel's Deep Learning notes, Deep Learning crash tutorial. Available: https://read01.com/yM3N5E.html
[146]B.-Y. JHOU. (2016). Talking about Deep Learning Principle and Its Application. Available: http://www.cc.ntu.edu.tw/chinese/epaper/0038/20160920_3805.html
[147]Y. Bengio, A. Courville, and P. Vincent, "Representation learning: A review and new perspectives," IEEE transactions on pattern analysis and machine intelligence, vol. 35, no. 8, pp. 1798-1828, 2013.
[148]劉人傑, 陳偉凱, and 尤信程, "基於深度學習之人聲辨識探討資料集組成與測試正確率之關聯性," TANET2018 臺灣網際網路研討會, pp. 1211-1216, 2018.
[149]H. Hild, J. Feulner, and W. Menzel, "HARMONET: A neural net for harmonizing chorales in the style of JS Bach," in Advances in neural information processing systems, 1992, pp. 267-274.
[150]D. Hörnel and P. Degenhardt, "A NeuralOrganist Improvising Baroque-Style Melodic Variations," 1997.
[151]M. C. Mozer, "Neural network music composition by prediction: Exploring the benefits of psychoacoustic constraints and multi-scale processing," Connection Science, vol. 6, no. 2-3, pp. 247-280, 1994.
[152]I. Sutskever, G. E. Hinton, and G. W. Taylor, "The recurrent temporal restricted boltzmann machine," in Advances in Neural Information Processing Systems, 2009, pp. 1601-1608.
[153]V. Nair and G. E. Hinton, "Rectified linear units improve restricted boltzmann machines," in Proceedings of the 27th international conference on machine learning (ICML-10), 2010, pp. 807-814.
[154]M. Schuster and K. K. Paliwal, "Bidirectional recurrent neural networks," IEEE Transactions on Signal Processing, vol. 45, no. 11, pp. 2673-2681, 1997.
[155](2011). Asio, Asio 4All, Ks, Was Api. Available: http://www.360doc.com/content/11/0910/12/7558399_147244236.shtml
[156]I. Malik, "Neural Translation of Musical Style," COMPUTER SCIENCE, University of BRISTOL, 2017.
[157]B. B. Jackson, Build customer relationships that last. Harvard Business Review, 1985.
[158]K. De Ruyter, M. Wetzels, and J. Bloemer, "On the relationship between perceived service quality, service loyalty and switching costs," International journal of service industry management, vol. 9, no. 5, pp. 436-453, 1998.
[159]T. A. Burnham, J. K. Frels, and V. Mahajan, "Consumer switching costs: A typology, antecedents, and consequences," Journal of the Academy of marketing Science, vol. 31, no. 2, pp. 109-126, 2003.
[160]H.-H. Chen, S.-C. Chen, and J.-y. Lin, "Examining the Effect of Technology Readiness and Switching Costs to Operating System Switching Intention," Electronic Commerce Studies, vol. 9, no. 2, pp. 133-156, 2011.
[161]A. G. Woodside, L. L. Frey, and R. T. Daly, "Linking sort/ice anlity, customer satisfaction, and behavioral intention," Journal of health care marketing, vol. 9, no. 4, pp. 5-17, 1989.
[162]G. A. Churchill Jr and C. Surprenant, "An investigation into the determinants of customer satisfaction," Journal of marketing research, pp. 491-504, 1982.
[163]H. K. Hunt, Conceptualization and measurement of consumer satisfaction and dissatisfaction (no. 77-103). Marketing Science Institute, 1977.
[164]M. B. Holbrook and E. C. Hirschman, "The experiential aspects of consumption: Consumer fantasies, feelings, and fun," Journal of consumer research, vol. 9, no. 2, pp. 132-140, 1982.
[165]M. J. Bitner and A. R. Hubbert, "Encounter satisfaction versus overall satisfaction versus quality," Service quality: New directions in theory and practice, vol. 34, pp. 72-94, 1994.
[166]Schmitt and Simonson, "Conscious Parallelism and Advertising Themes-The Case for Comparative Advertising.," Antitrust Law and Economics Review, vol. 7, pp. 11-20, 1997.
[167]J. Maquet, Aesthetic experience. Taipei:lionart, 2003.
[168]A. K. Smith, R. N. Bolton, and J. Wagner, "A model of customer satisfaction with service encounters involving failure and recovery," Journal of marketing research, pp. 356-372, 1999.
[169]M. B. Holbrook, Consumer value: a framework for analysis and research. Psychology Press, 1999.
[170]C. Mathwick, N. Malhotra, and E. Rigdon, "Experiential value: conceptualization, measurement and application in the catalog and Internet shopping environment," Journal of retailing, vol. 77, no. 1, pp. 39-56, 2001.
[171]吳明隆, SPSS 操作與應用: 問卷統計分析實務. 五南圖書出版股份有限公司, 2007.
[172]S.-C. Tseng, "Memory and Nostalgia in Art Creation," Thesis of Department of Painting and Calligraphy, no. 18, pp. 323-355, 2015.
[173]L. J. Cronbach, "Coefficient alpha and the internal structure of tests," psychometrika, vol. 16, no. 3, pp. 297-334, 1951.
[174]J. F. Hair, C. M. Ringle, and M. Sarstedt, "PLS-SEM: Indeed a silver bullet," Journal of Marketing theory and Practice, vol. 19, no. 2, pp. 139-152, 2011.
[175]J.-B. E. Steenkamp and H. C. Van Trijp, "The use of LISREL in validating marketing constructs," International Journal of Research in marketing, vol. 8, no. 4, pp. 283-299, 1991.
[176]J. F. Hair, W. C. Black, B. J. Babin, R. E. Anderson, and R. L. Tatham, Multivariate data analysis (no. 3). Prentice hall Upper Saddle River, NJ, 1998.
[177]R. B. Kline, Principles and practice of structural equation modeling. Guilford publications, 2015.
[178]W. W. Chin, "Commentary: Issues and opinion on structural equation modeling," ed: JSTOR, 1998.
[179]D. Gefen and D. Straub, "A practical guide to factorial validity using PLS-Graph: Tutorial and annotated example," Communications of the Association for Information systems, vol. 16, no. 1, p. 5, 2005.
[180]蕭文龍, 統計分析入門與應用: SPSS 中文版+ PLS-SEM (SmartPLS). 碁峯資訊, 2013.
[181]P. M. Podsakoff and D. W. Organ, "Self-reports in organizational research: Problems and prospects," Journal of management, vol. 12, no. 4, pp. 531-544, 1986.
[182]P. M. Podsakoff, S. B. MacKenzie, J.-Y. Lee, and N. P. Podsakoff, "Common method biases in behavioral research: a critical review of the literature and recommended remedies," Journal of applied psychology, vol. 88, no. 5, p. 879, 2003.
[183]N. Urbach and F. Ahlemann, "Structural equation modeling in information systems research using partial least squares," Journal of Information technology theory and application, vol. 11, no. 2, pp. 5-40, 2010.
[184]M. Tenenhaus, "Component-based structural equation modelling," Total quality management, vol. 19, no. 7-8, pp. 871-886, 2008.
[185]W. W. Chin, B. L. Marcolin, and P. R. Newsted, "A partial least squares latent variable modeling approach for measuring interaction effects: Results from a Monte Carlo simulation study and an electronic-mail emotion/adoption study," Information systems research, vol. 14, no. 2, pp. 189-217, 2003.
[186]J. C. Anderson and D. W. Gerbing, "Structural equation modeling in practice: A review and recommended two-step approach," Psychological bulletin, vol. 103, no. 3, p. 411, 1988.
[187]J. F. Hair Jr, G. T. M. Hult, C. Ringle, and M. Sarstedt, A primer on partial least squares structural equation modeling (PLS-SEM). Sage Publications, 2016.
[188]K. J. Preacher and A. F. Hayes, "Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models," Behavior research methods, vol. 40, no. 3, pp. 879-891, 2008.
[189]C. Nitzl, J. L. Roldán, and G. Cepeda, "Mediation Analyses in Partial Least Squares Structural Equation Modeling, Helping Researchers Discuss More Sophisticated Models: An Abstract," in Marketing at the Confluence between Entertainment and Analytics: Springer, 2017, pp. 693-693.
[190]J. Henseler, C. M. Ringle, and R. R. Sinkovics, "The use of partial least squares path modeling in international marketing," in New challenges to international marketing: Emerald Group Publishing Limited, 2009, pp. 277-319.
[191]D. L. Streiner, G. R. Norman, and J. Cairney, Health measurement scales: a practical guide to their development and use. Oxford University Press, USA, 2015.
[192]C. Fornell and D. F. Larcker, "Structural equation models with unobservable variables and measurement error: Algebra and statistics," ed: SAGE Publications Sage CA: Los Angeles, CA, 1981.
[193]C. Fornell and D. F. Larcker, "Evaluating structural equation models with unobservable variables and measurement error," Journal of marketing research, pp. 39-50, 1981.
[194]R. L. Cohen, "Distributive justice: Theory and research," Social justice research, vol. 1, no. 1, pp. 19-40, 1987.
[195]W. W. Chin, "The partial least squares approach to structural equation modeling," Modern methods for business research, vol. 295, no. 2, pp. 295-336, 1998.
[196]eMASTERED. Available: https://emastered.com/
 
 
 
 
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