{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,19]],"date-time":"2026-03-19T06:22:28Z","timestamp":1773901348669,"version":"3.50.1"},"reference-count":62,"publisher":"Institute of Electronics, Information and Communications Engineers (IEICE)","issue":"4","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEICE Trans. Inf. &amp; Syst."],"published-print":{"date-parts":[[2023,4,1]]},"DOI":"10.1587\/transinf.2022edp7177","type":"journal-article","created":{"date-parts":[[2023,3,31]],"date-time":"2023-03-31T22:27:49Z","timestamp":1680301669000},"page":"556-564","source":"Crossref","is-referenced-by-count":2,"title":["Why and How People View Lyrics While Listening to Music on a Smartphone"],"prefix":"10.1587","volume":"E106.D","author":[{"given":"Kosetsu","family":"TSUKUDA","sequence":"first","affiliation":[{"name":"National Institute of Advanced Industrial Science and Technology (AIST)"}]},{"given":"Masahiro","family":"HAMASAKI","sequence":"additional","affiliation":[{"name":"National Institute of Advanced Industrial Science and Technology (AIST)"}]},{"given":"Masataka","family":"GOTO","sequence":"additional","affiliation":[{"name":"National Institute of Advanced Industrial Science and Technology (AIST)"}]}],"member":"532","reference":[{"key":"1","unstructured":"[1] K. Tsukuda, M. Hamasaki, and M. Goto, \u201cToward an understanding of lyrics-viewing behavior while listening to music on a smartphone,\u201d Proc. 22nd International Society for Music Information Retrieval Conference, ISMIR 2021, pp.705-713, 2021. 10.5281\/zenodo.5624632"},{"key":"2","unstructured":"[2] J.H. Lee and J.S. Downie, \u201cSurvey of music information needs, uses, and seeking behaviours: Preliminary findings,\u201d Proc. 5th International Conference on Music Information Retrieval, ISMIR 2004, pp.989-992, 2004. 10.5281\/zenodo.1417637"},{"key":"3","unstructured":"[3] J.H. Lee, J.S. Downie, and S.J. Cunningham, \u201cChallenges in cross-cultural\/multilingual music information seeking,\u201d Proc. 6th International Conference on Music Information Retrieval, ISMIR 2005, pp.1-7, 2005. 10.5281\/zenodo.1416706"},{"key":"4","doi-asserted-by":"crossref","unstructured":"[4] D. Bainbridge, S.J. Cunningham, and J.S. Downie, \u201cHow people describe their music information needs: A grounded theory analysis of music queries,\u201d Proc. 4th International Conference on Music Information Retrieval, ISMIR 2003, pp.221-222, 2003.","DOI":"10.1145\/996350.996362"},{"key":"5","unstructured":"[5] A. Demetriou, A. Jansson, A. Kumar, and R.M. Bittner, \u201cVocals in music matter: The relevance of vocals in the minds of listeners,\u201d Proc. 19th International Society for Music Information Retrieval Conference, ISMIR 2018, pp.514-520, 2018. 10.5281\/zenodo.1492465"},{"key":"6","unstructured":"[6] E. Brochu and N. de Freitas, \u201c\u201cName that song!\u201d: A probabilistic approach to querying on music and text,\u201d Proc. 15th International Conference on Neural Information Processing Systems, NIPS 2002, pp.1505-1512, 2002."},{"key":"7","doi-asserted-by":"crossref","unstructured":"[7] M. M\u00fcller, F. Kurth, D. Damm, C. Fremerey, and M. Clausen, \u201cLyrics-based audio retrieval and multimodal navigation in music collections,\u201d Proc. 11th European Conference on Digital Libraries, ECDL 2007, pp.112-123, 2007. 10.1007\/978-3-540-74851-9_10","DOI":"10.1007\/978-3-540-74851-9_10"},{"key":"8","unstructured":"[8] T. Hosoya, M. Suzuki, A. Ito, and S. Makino, \u201cLyrics recognition from a singing voice based on finite state automaton for music information retrieval,\u201d Proc. 6th International Conference on Music Information Retrieval, ISMIR 2005, pp.532-535, 2005. 10.5281\/zenodo.1417855"},{"key":"9","unstructured":"[9] C. Wang, J.R. Jang, and W. Wang, \u201cAn improved query by singing\/humming system using melody and lyrics information,\u201d Proc. 11th International Society for Music Information Retrieval Conference, ISMIR 2010, pp.45-50, 2010. 10.5281\/zenodo.1414802"},{"key":"10","unstructured":"[10] S. Sasaki, K. Yoshii, T. Nakano, M. Goto, and S. Morishima, \u201cLyricsRadar: A lyrics retrieval system based on latent topics of lyrics,\u201d Proc. 15th International Society for Music Information Retrieval Conference, ISMIR 2014, pp.585-590, 2014. 10.5281\/zenodo.1418075"},{"key":"11","unstructured":"[11] T. Nakano and M. Goto, \u201cLyricListPlayer: A consecutive-query-by-playback interface for retrieving similar word sequences from different song lyrics,\u201d Proc. Sound and Music Computing Conference 2016, SMC 2016, pp.344-349, 2016. 10.5281\/zenodo.851276"},{"key":"12","unstructured":"[12] K. Tsukuda, K. Ishida, and M. Goto, \u201cLyric Jumper: A lyrics-based music exploratory web service by modeling lyrics generative process,\u201d Proc. 18th International Society for Music Information Retrieval Conference, ISMIR 2017, pp.544-551, 2017. 10.5281\/zenodo.1417749"},{"key":"13","unstructured":"[13] K. Watanabe and M. Goto, \u201cQuery-by-Blending: A music exploration system blending latent vector representations of lyric word, song audio, and artist,\u201d Proc. 20th International Society for Music Information Retrieval Conference, ISMIR 2019, pp.144-151, 2019. 10.5281\/zenodo.3527762"},{"key":"14","doi-asserted-by":"crossref","unstructured":"[14] D. Baur, J. B\u00fcttgen, and A. Butz, \u201cListening factors: A large-scale principal components analysis of long-term music listening histories,\u201d Proc. SIGCHI Conference on Human Factors in Computing Systems, CHI 2012, pp.1273-1276, May 2012. 10.1145\/2207676.2208581","DOI":"10.1145\/2207676.2208581"},{"key":"15","unstructured":"[15] J.H. Lee and R. Price, \u201cUnderstanding users of commercial music services through personas: Design implications,\u201d Proc. 16th International Society for Music Information Retrieval Conference, ISMIR 2015, pp.476-482, 2015. 10.5281\/zenodo.1418297"},{"key":"16","unstructured":"[16] J.H. Lee and N.M. Waterman, \u201cUnderstanding user requirements for music information services,\u201d Proc. 13th International Society for Music Information Retrieval Conference, ISMIR 2012, pp.253-258, 2012. 10.5281\/zenodo.1417625"},{"key":"17","doi-asserted-by":"publisher","unstructured":"[17] A.J. Lonsdale and A.C. North, \u201cWhy do we listen to music? A uses and gratifications analysis,\u201d British Journal of Psychology, vol.102, no.1, pp.108-134, 2011. 10.1348\/000712610X506831","DOI":"10.1348\/000712610X506831"},{"key":"18","doi-asserted-by":"publisher","unstructured":"[18] W.M. Randall and N.S. Rickard, \u201cReasons for personal music listening: A mobile experience sampling study of emotional outcomes,\u201d Psychology of Music, vol.45, no.4, pp.479-495, 2017. 10.1177\/0305735616666939","DOI":"10.1177\/0305735616666939"},{"key":"19","doi-asserted-by":"publisher","unstructured":"[19] A.B. Haake, \u201cIndividual music listening in workplace settings: An exploratory survey of offices in the UK,\u201d Musicae Scientiae, vol.15, no.1, pp.107-129, 2011. 10.1177\/1029864911398065","DOI":"10.1177\/1029864911398065"},{"key":"20","unstructured":"[20] J.H. Lee, L. Pritchard, and C. Hubbles, \u201cCan we listen to it together?: Factors influencing reception of music recommendations and post-recommendation behavior,\u201d Proc. 20th International Society for Music Information Retrieval Conference, ISMIR 2019, pp.663-669, 2019. 10.5281\/zenodo.3527896"},{"key":"21","doi-asserted-by":"publisher","unstructured":"[21] A.C. North, D.J. Hargreaves, and J.J. Hargreaves, \u201cUses of music in everyday life,\u201d Music Perception: An Interdisciplinary Journal, vol.22, no.1, pp.41-77, 2004. 10.1525\/mp.2004.22.1.41","DOI":"10.1525\/mp.2004.22.1.41"},{"key":"22","doi-asserted-by":"publisher","unstructured":"[22] L.A. Liikkanen and A. Salovaara, \u201cMusic on YouTube: User engagement with traditional, user-appropriated and derivative videos,\u201d Computers in Human Behavior, vol.50, pp.108-124, Sept. 2015. 10.1016\/j.chb.2015.01.067","DOI":"10.1016\/j.chb.2015.01.067"},{"key":"23","doi-asserted-by":"publisher","unstructured":"[23] J.H. Lee, R. Wishkoski, L. Aase, P. Meas, and C. Hubbles, \u201cUnderstanding users of cloud music services: Selection factors, man-agement and access behavior, and perceptions,\u201d Journal of the Association for Information Science and Technology, vol.68, no.5, pp.1186-1200, May 2017. 10.1002\/asi.23754","DOI":"10.1002\/asi.23754"},{"key":"24","doi-asserted-by":"crossref","unstructured":"[24] M. Schedl, \u201cThe LFM-1b dataset for music retrieval and recommendation,\u201d Proc. 2016 ACM International Conference on Multimedia Retrieval, ICMR 2016, pp.103-110, June 2016. 10.1145\/2911996.2912004","DOI":"10.1145\/2911996.2912004"},{"key":"25","unstructured":"[25] G. Vigliensoni and I. Fujinaga, \u201cThe music listening histories dataset,\u201d Proc. 18th International Society for Music Information Retrieval Conference, ISMIR 2017, pp.96-102, 2017. 10.5281\/zenodo.1417499"},{"key":"26","doi-asserted-by":"publisher","unstructured":"[26] M. Schedl, \u201cLeveraging microblogs for spatiotemporal music information retrieval,\u201d Proc. 35th European Conference on Advances in Information Retrieval, ECIR 2013, pp.796-799, 2013. 10.1007\/978-3-642-36973-5_87","DOI":"10.1007\/978-3-642-36973-5_87"},{"key":"27","unstructured":"[27] D. Hauger, M. Schedl, A. Kosir, and M. Tkalcic, \u201cThe million musical tweet dataset-What we can learn from microblogs,\u201d Proc. 14th International Society for Music Information Retrieval Conference, ISMIR 2013, pp.189-194, 2013. 10.5281\/zenodo.1417649"},{"key":"28","doi-asserted-by":"crossref","unstructured":"[28] E. Zangerle, M. Pichl, W. Gassler, and G. Specht, \u201c#nowplaying music dataset: Extracting listening behavior from twitter,\u201d Proc. First International Workshop on Internet-Scale Multimedia Management, WISMM 2014, pp.21-26, Nov. 2014. 10.1145\/2661714.2661719","DOI":"10.1145\/2661714.2661719"},{"key":"29","doi-asserted-by":"crossref","unstructured":"[29] A. Anderson, R. Kumar, A. Tomkins, and S. Vassilvitskii, \u201cThe dynamics of repeat consumption,\u201d Proc. 23rd International Conference on World Wide Web, WWW 2014, pp.419-430, April 2014. 10.1145\/2566486.2568018","DOI":"10.1145\/2566486.2568018"},{"key":"30","doi-asserted-by":"crossref","unstructured":"[30] A.R. Benson, R. Kumar, and A. Tomkins, \u201cModeling user consumption sequences,\u201d Proc. 25th International Conference on World Wide Web, WWW 2016, pp.519-529, April 2016. 10.1145\/2872427.2883024","DOI":"10.1145\/2872427.2883024"},{"key":"31","unstructured":"[31] G. Dzhambazov, A. Srinivasamurthy, S. Sent\u00fcrk, and X. Serra, \u201cOn the use of note onsets for improved lyrics-to-audio alignment in Turkish makam music,\u201d Proc. 17th International Society for Music Information Retrieval Conference, ISMIR 2016, pp.716-722, 2016. 10.5281\/zenodo.1415988"},{"key":"32","unstructured":"[32] K. Lee and M. Cremer, \u201cSegmentation-based lyrics-audio alignment using dynamic programming,\u201d Proc. 9th International Conference on Music Information Retrieval, ISMIR 2008, pp.395-400, 2008. 10.5281\/zenodo.1416934"},{"key":"33","unstructured":"[33] V. Thomas, C. Fremerey, D. Damm, and M. Clausen, \u201cSlave: A score-lyrics-audio-video-explorer,\u201d Proc. 10th International Society for Music Information Retrieval Conference, ISMIR 2009, pp.717-722, 2009. 10.5281\/zenodo.1418029"},{"key":"34","doi-asserted-by":"crossref","unstructured":"[34] H. Fujihara, M. Goto, J. Ogata, K. Komatani, T. Ogata, and H.G. Okuno, \u201cAutomatic synchronization between lyrics and music CD recordings based on viterbi alignment of segregated vocal signals,\u201d Proc. 8th IEEE International Symposium on Multimedia, ISM 2006, pp.257-264, 2006. 10.1109\/ISM.2006.38","DOI":"10.1109\/ISM.2006.38"},{"key":"35","doi-asserted-by":"publisher","unstructured":"[35] M.Y. Kan, Y. Wang, D. Iskandar, T.L. Nwe, and A. Shenoy, \u201cLyricAlly: Automatic synchronization of textual lyrics to acoustic mu-sic signals,\u201d IEEE Transactions on Audio, Speech, and Language Processing, vol.16, no.2, pp.338-349, Feb. 2008. 10.1109\/TASL.2007.911559","DOI":"10.1109\/TASL.2007.911559"},{"key":"36","doi-asserted-by":"publisher","unstructured":"[36] H. Fujihara, M. Goto, J. Ogata, and H.G. Okuno, \u201cLyricSynchronizer: Automatic synchronization system between musical audio signals and lyrics,\u201d IEEE Journal of Selected Topics in Signal Processing, vol.5, no.6, pp.1252-1261, Oct. 2011. 10.1109\/JSTSP.2011.2159577","DOI":"10.1109\/JSTSP.2011.2159577"},{"key":"37","doi-asserted-by":"publisher","unstructured":"[37] M. Mauch, H. Fujihara, and M. Goto, \u201cIntegrating additional chord information into HMM-based lyrics-to-audio alignment,\u201d IEEE Transactions on Audio, Speech, and Language Processing, vol.20, no.1, pp.200-210, Jan. 2012. 10.1109\/TASL.2011.2159595","DOI":"10.1109\/TASL.2011.2159595"},{"key":"38","unstructured":"[38] R.J. Ellis, Z. Xing, J. Fang, and Y. Wang, \u201cQuantifying lexical novelty in song lyrics,\u201d Proc. 16th International Society for Music Information Retrieval Conference, ISMIR 2015, pp.694-700, 2015. 10.5281\/zenodo.1417577"},{"key":"39","unstructured":"[39] H. Hirjee and D.G. Brown, \u201cAutomatic detection of internal and imperfect rhymes in rap lyrics,\u201d Proc. 10th International Society for Music Information Retrieval Conference, ISMIR 2009, pp.711-716, 2009. 10.5281\/zenodo.1416160"},{"key":"40","unstructured":"[40] X. Hu and B. Yu, \u201cExploring the relationship between mood and creativity in rock lyrics,\u201d Proc. 12th International Society for Music Information Retrieval Conference, ISMIR 2011, pp.789-794, 2011. 10.5281\/zenodo.1415690"},{"key":"41","unstructured":"[41] E. Nichols, D. Morris, S. Basu, and C. Raphael, \u201cRelationships between lyrics and melody in popular music,\u201d Proc. 10th International Society for Music Information Retrieval Conference, ISMIR 2009, pp.471-476, 2009. 10.5281\/zenodo.1417321"},{"key":"42","unstructured":"[42] A. Singhi and D.G. Brown, \u201cAre poetry and lyrics all that different?,\u201d Proc. 15th International Society for Music Information Retrieval Conference, ISMIR 2014, pp.471-476, 2014. 10.5281\/zenodo.1417004"},{"key":"43","unstructured":"[43] C. Johnson-Roberson and M. Johnson-Roberson, \u201cTemporal and regional variation in rap lyrics,\u201d NIPS Workshop on Topic Models: Computation, Application and Evaluation, NIPSW 2013, pp.1-5, 2013."},{"key":"44","unstructured":"[44] P. Knees, M. Schedl, and G. Widmer, \u201cMultiple lyrics alignment: Automatic retrieval of song lyrics,\u201d Proc. 6th International Conference on Music Information Retrieval, ISMIR 2005, pp.564-569, 2005. 10.5281\/zenodo.1415140"},{"key":"45","unstructured":"[45] G. Geleijnse and J.H.M. Korst, \u201cEfficient lyrics extraction from the web,\u201d Proc. 7th International Conference on Music Information Retrieval, ISMIR 2006, pp.371-372, 2006. 10.5281\/zenodo.1415982"},{"key":"46","unstructured":"[46] R. Macrae and S. Dixon, \u201cRanking lyrics for online search,\u201d Proc. 13th International Society for Music Information Retrieval Conference, ISMIR 2012, pp.361-366, 2012. 10.5281\/zenodo.1416168"},{"key":"47","unstructured":"[47] X. Hu and J.S. Downie, \u201cWhen lyrics outperform audio for music mood classification: A feature analysis,\u201d Proc. 11th International Society for Music Information Retrieval Conference, ISMIR 2010, pp.619-624, 2010. 10.5281\/zenodo.1415540"},{"key":"48","unstructured":"[48] R. Mayer, R. Neumayer, and A. Rauber, \u201cRhyme and style features for musical genre classification by song lyrics,\u201d Proc. 9th International Conference on Music Information Retrieval, ISMIR 2008, pp.337-342, 2008. 10.5281\/zenodo.1416758"},{"key":"49","unstructured":"[49] R. Mayer and A. Rauber, \u201cMusic genre classification by ensembles of audio and lyrics features,\u201d Proc. 12th International Society for Music Information Retrieval Conference, ISMIR 2011, pp.675-680, 2011. 10.5281\/zenodo.1416844"},{"key":"50","unstructured":"[50] X. Wang, X. Chen, D. Yang, and Y. Wu, \u201cMusic emotion classification of Chinese songs based on lyrics using TF*IDF and rhyme,\u201d Proc. 12th International Society for Music Information Retrieval Conference, ISMIR 2011, pp.765-770, 2011. 10.5281\/zenodo.1416458"},{"key":"51","unstructured":"[51] B. Wei, C. Zhang, and M. Ogihara, \u201cKeyword generation for lyrics,\u201d Proc. 8th International Conference on Music Information Retrieval, ISMIR 2007, pp.121-122, 2007. 10.5281\/zenodo.1418369"},{"key":"52","unstructured":"[52] M. van Zaanen and P. Kanters, \u201cAutomatic mood classification using TF*IDF based on lyrics,\u201d Proc. 11th International Society for Music Information Retrieval Conference, ISMIR 2010, pp.75-80, 2010. 10.5281\/zenodo.1417287"},{"key":"53","unstructured":"[53] H. Fujihara, M. Goto, and J. Ogata, \u201cHyperlinking lyrics: A method for creating hyperlinks between phrases in song lyrics,\u201d Proc. 9th International Conference on Music Information Retrieval, ISMIR 2008, pp.281-286, 2008. 10.5281\/zenodo.1418251"},{"key":"54","unstructured":"[54] D. Baur, B. Steinmayr, and A. Butz, \u201cSongWords: Exploring music collections through lyrics,\u201d Proc. 11th International Society for Music Information Retrieval Conference, ISMIR 2010, pp.531-536, 2010. 10.5281\/zenodo.1416682"},{"key":"55","doi-asserted-by":"crossref","unstructured":"[55] W. Machida and T. Itoh, \u201cLyricon: A visual music selection interface featuring multiple icons,\u201d Proc. 15th International Conference on Information Visualisation, IV 2011, pp.145-150, 2011. 10.1109\/IV.2011.62","DOI":"10.1109\/IV.2011.62"},{"key":"56","unstructured":"[56] S. Funasawa, H. Ishizaki, K. Hoashi, Y. Takishima, and J. Katto, \u201cAutomated music slideshow generation using web images based on lyrics,\u201d Proc. 11th International Society for Music Information Retrieval Conference, ISMIR 2010, pp.63-68, 2010. 10.5281\/zenodo.1415996"},{"key":"57","unstructured":"[57] T. O&apos;Hara, N. Sch\u00fcler, Y. Lu, and D. Tamir, \u201cInferring chord sequence meanings via lyrics: Process and evaluation,\u201d Proc. 13th International Society for Music Information Retrieval Conference, ISMIR 2012, pp.463-468, 2012. 10.5281\/zenodo.1417975"},{"key":"58","unstructured":"[58] K.M. Ibrahim, D. Grunberg, K. Agres, C. Gupta, and Y. Wang, \u201cIntelligibility of sung lyrics: A pilot study,\u201d Proc. 18th International Society for Music Information Retrieval Conference, ISMIR 2017, pp.686-693, 2017. 10.5281\/zenodo.1414730"},{"key":"59","doi-asserted-by":"crossref","unstructured":"[59] T. Nakano, M. Goto, and Y. Hiraga, \u201cAn automatic singing skill evaluation method for unknown melodies using pitch interval accuracy and vibrato features,\u201d Proc. 9th International Conference on Spoken Language Processing, INTERSPEECH 2006, pp.1706-1709, 2006. 10.21437\/Interspeech.2006-474","DOI":"10.21437\/Interspeech.2006-474"},{"key":"60","doi-asserted-by":"publisher","unstructured":"[60] M. Goto, \u201cA chorus section detection method for musical audio signals and its application to a music listening station,\u201d IEEE Transactions on Audio, Speech, and Language Processing, vol.14, no.5, pp.1783-1794, Sept. 2006. 10.1109\/TSA.2005.863204","DOI":"10.1109\/TSA.2005.863204"},{"key":"61","unstructured":"[61] K. Watanabe and M. Goto, \u201cA chorus-section detection method for lyrics text,\u201d Proc. 21st International Society for Music Information Retrieval Conference, ISMIR 2020, pp.351-359, 2020. 10.5281\/zenodo.4245442"},{"key":"62","unstructured":"[62] Statistics Bureau of Japan, Survey on time use and leisure activities, Japan Statistical Association, Tokyo, 2016."}],"container-title":["IEICE Transactions on Information and Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E106.D\/4\/E106.D_2022EDP7177\/_pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,4,1]],"date-time":"2023-04-01T04:32:44Z","timestamp":1680323564000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E106.D\/4\/E106.D_2022EDP7177\/_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,4,1]]},"references-count":62,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2023]]}},"URL":"https:\/\/doi.org\/10.1587\/transinf.2022edp7177","relation":{},"ISSN":["0916-8532","1745-1361"],"issn-type":[{"value":"0916-8532","type":"print"},{"value":"1745-1361","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,4,1]]},"article-number":"2022EDP7177"}}