{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T09:46:37Z","timestamp":1743068797086,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":20,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819755806"},{"type":"electronic","value":"9789819755813"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-981-97-5581-3_27","type":"book-chapter","created":{"date-parts":[[2024,8,1]],"date-time":"2024-08-01T19:02:53Z","timestamp":1722538973000},"page":"333-342","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Spiking Generative Adversarial Network for Controllable Affective Music Creation"],"prefix":"10.1007","author":[{"given":"Yuan","family":"Zhao","sequence":"first","affiliation":[]},{"given":"Xianghong","family":"Lin","sequence":"additional","affiliation":[]},{"given":"Zequn","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Chengyang","family":"Xie","sequence":"additional","affiliation":[]},{"given":"Ruidong","family":"Ma","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,8,1]]},"reference":[{"issue":"4","key":"27_CR1","doi-asserted-by":"publisher","first-page":"579","DOI":"10.1080\/026999398379574","volume":"12","author":"LF Barrett","year":"1998","unstructured":"Barrett, L.F.: Discrete emotions or dimensions? the role of valence focus and arousal focus. Cogn. Emot. 12(4), 579\u2013599 (1998)","journal-title":"Cogn. Emot."},{"key":"27_CR2","doi-asserted-by":"crossref","unstructured":"Brunner, G., Wang, Y., Wattenhofer, Roger, e.a.: Symbolic music genre transfer with cyclegan. In: 2018 IEEE 30th International Conference on tools with Artificial Intelligence (ICTAI), pp. 786\u2013793. IEEE (2018)","DOI":"10.1109\/ICTAI.2018.00123"},{"key":"27_CR3","doi-asserted-by":"publisher","unstructured":"Dong, H.W., Chen, K., McAuley, J., Berg-Kirkpatrick, T.: Muspy: A toolkit for symbolic music generation. In: Proceedings of the 21st International Society for Music Information Retrieval Conference, pp. 101\u2013108. ISMIR, Montreal, Canada (Oct 2020). https:\/\/doi.org\/10.5281\/zenodo.4245380","DOI":"10.5281\/zenodo.4245380"},{"key":"27_CR4","doi-asserted-by":"crossref","unstructured":"Dong, H.W., Hsiao, W.Y., Yang, Li-Chia, e.a.: Musegan: Multi-track sequential generative adversarial networks for symbolic music generation and accompaniment. In: Proceedings of the AAAI Conference, vol. 32 (2018)","DOI":"10.1609\/aaai.v32i1.11312"},{"key":"27_CR5","unstructured":"Dong, H.W., Yi-Hsuan Yang, E.A.: Convolutional generative adversarial networks with binary neurons for polyphonic music generation. In: Proceedings of the 21st International Society for Music Information Retrieval Conference, No. 101\u2013108 (2018)"},{"key":"27_CR6","unstructured":"Gulrajani, I., Ahmed, F., Arjovsky, M., Dumoulin, V., Courville, A.: Improved training of wasserstein gans. In: Proceedings of the 31st International Conference on Neural Information Processing Systems, pp. 5769\u20135779. NIPS\u201917, Curran Associates Inc., Red Hook, NY, USA (2017)"},{"key":"27_CR7","doi-asserted-by":"crossref","unstructured":"Hsiao, W.Y., Liu, J.Y., Yeh, Y.C., Yang, Y.H.: Compound word transformer: Learning to compose full-song music over dynamic directed hypergraphs. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 35, pp. 178\u2013186(2021)","DOI":"10.1609\/aaai.v35i1.16091"},{"key":"27_CR8","unstructured":"Huang, S., Li, Q., Anil, C., et al.: Timbretron: a wavenet(cyclegan(cqt(audio))) pipeline for musical timbre transfer. In: 7th International Conference on Learning Representations, ICLR New Orleans,\u00a0 6\u20139 May,\u00a0 LA, USA\u00a0 (2019)"},{"key":"27_CR9","unstructured":"Hung, H.T., Ching, J., Doh, S., Kim, N., Nam, J., Yang, Y.H.: EMOPIA: A multimodal pop piano dataset for emotion recognition and emotion-based music generation. In: Proc. Int. Society for Music Information Retrieval Conf. (2021)"},{"key":"27_CR10","doi-asserted-by":"crossref","unstructured":"Jiang, J., Xia, G.G., Carlton, D.B., Anderson, C.N., Miyakawa, R.H.: Transformer vae: A hierarchical model for structure-aware and interpretable music representation learning. In: ICASSP 2020\u20132020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 516\u2013520. IEEE (2020)","DOI":"10.1109\/ICASSP40776.2020.9054554"},{"key":"27_CR11","doi-asserted-by":"publisher","unstructured":"Juslin, P.N., Lindstrom, E.: Musical expression of emotions: Modelling listeners\u2019 judgements of composed and performed features. Music Analy. 29(1\u20133), 334\u2013364(2010). https:\/\/doi.org\/10.1111\/j.1468-2249.2011.00323.x","DOI":"10.1111\/j.1468-2249.2011.00323.x"},{"key":"27_CR12","doi-asserted-by":"publisher","unstructured":"Kotariya, V., Ganguly, U.: Spiking-gan: a spiking generative adversarial network using time-to-first-spike coding. In: 2022 International Joint Conference on Neural Networks, pp. 1\u20137 (2022). https:\/\/doi.org\/10.1109\/IJCNN55064.2022.9892262","DOI":"10.1109\/IJCNN55064.2022.9892262"},{"key":"27_CR13","doi-asserted-by":"crossref","unstructured":"Miyamoto, K., Tanaka, H., Nakamura, S.: Music generation and emotion estimation from eeg signals for inducing affective states. In: Companion Publication of the 2020 International Conference on Multimodal Interaction, pp. 487\u2013491 (2020)","DOI":"10.1145\/3395035.3425225"},{"key":"27_CR14","doi-asserted-by":"crossref","unstructured":"Park, Y., Yun, S., Yoo, C.D.: Parametric emotional singing voice synthesis. In: International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 4814\u20134817. IEEE (2010)","DOI":"10.1109\/ICASSP.2010.5495137"},{"key":"27_CR15","unstructured":"Wallis, I., Ingalls, T., Campana, Ellen, E.A.: A rule-based generative music system controlled by desired valence and arousal. In: Proceedings of 8th International Sound and Music Computing Conference (SMC), pp. 156\u2013157 (2011)"},{"key":"27_CR16","doi-asserted-by":"crossref","unstructured":"Wu, C., Lan, T., Yu, C., Wang, X.: Symbol-based end-to-end raw audio music generation.\u00a0 J. Phys. Conf. Ser., 1693, 012142 (2020)","DOI":"10.1088\/1742-6596\/1693\/1\/012142"},{"key":"27_CR17","doi-asserted-by":"crossref","unstructured":"Wu, Y., Deng, L., Li, G., Zhu, J., Shi, L.: Spatio-temporal backpropagation for training high-performance spiking neural networks. Front. Neurosci. 12 (2018)","DOI":"10.3389\/fnins.2018.00331"},{"key":"27_CR18","doi-asserted-by":"crossref","unstructured":"Wu, Y., Deng, L., Li, G., Zhu, J., Xie, Y., Shi, L.: Direct training for spiking neural networks: Faster, larger, better. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 33, pp. 1311\u20131318 (2019)","DOI":"10.1609\/aaai.v33i01.33011311"},{"key":"27_CR19","unstructured":"Yang, L., Chou, S., Yang, Y.: Midinet: A convolutional generative adversarial network for symbolic-domain music generation. In: ISMIR, Suzhou, China, October 23\u201327. pp. 324\u2013331 (2017)"},{"key":"27_CR20","doi-asserted-by":"crossref","unstructured":"Zhao, K., Li, S., Cai, J., Wang, H., Wang, J.: An emotional symbolic music generation system based on lstm networks. In: 2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC), pp. 2039\u20132043 (2019)","DOI":"10.1109\/ITNEC.2019.8729266"}],"container-title":["Lecture Notes in Computer Science","Advanced Intelligent Computing Technology and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-97-5581-3_27","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,1]],"date-time":"2024-08-01T19:17:05Z","timestamp":1722539825000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-97-5581-3_27"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9789819755806","9789819755813"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-981-97-5581-3_27","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"1 August 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Tianjin","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 August 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 August 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icic2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.ic-icc.cn\/2024\/index.htm","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}