Publications

Publications

(bold = CompMusic Lab member)

Yuan, Y., Cronin, C., Müllensiefen, D., Fujii, S., & Savage, P. E. (2022). Perceptual and automated estimates of infringement in 40 music copyright cases. PsyArXiv preprint: https://doi.org/10.31234/osf.io/dzypn

Passmore, S., Wood, A. L. C., Barbieri, C., Shilton, D., Daikoku, H., Atkinson, Q. D., & Savage, P. E. (Submitted). Global relationships between musical, linguistic, and genetic diversity.

Wood, A. L. C., Kirby, K. R., Ember, C. R., Silbert, S., Passmore, S., Daikoku, H., McBride, J., Paulay, F., Flory, M., Szinger, J., D’Arcangelo, G., Guarino, M., Atayeva, M., Rifkin, J., Baron, V., El Hajli, M., Szinger, M., & Savage, P. E. (Provisionally accepted). The Global Jukebox: A public database of performing arts and culture. PLOS ONE. Preprint: https://doi.org/10.31234/osf.io/4z97j

Chiba, G., Ozaki, Y., Fujii, S., & Savage, P. E. (Accepted In Principle). Sight vs. sound in the judgment of music performance: Cross-cultural evidence from classical piano and Tsugaru shamisen competitions [Stage 1 Registered Report]. Peer Community In Registered Reports. Preprint: https://doi.org/10.31234/osf.io/xky4j

Chiba, G., & Savage, P. E. (Forthcoming). Traditional folk music in contemporary Japan: Case studies of standardization and diversification in Tsugaru shamisen and folk song. In H. Johnson (Ed.), Japanese music in the modern era. Brill. Preprint: https://doi.org/10.31234/osf.io/mwb2z

Savage, P. E. (Under contract). Comparative musicology: The science of the world’s music. Oxford University Press. Preprint: https://doi.org/10.31234/osf.io/b36fm

Ravignani, A., Kirby, S., Savage, P. E., & Dediu, D. (Under contract). Cultural evolution of language and music. In D. Sammler (Ed.), Oxford Handbook of Language and Music. Oxford University Press.

Savage, P. E., Jacoby, N., Margulis, E. H., Daikoku, H., Anglada-Tort, M., Castelo-Branco, S. E.-S., Nweke, F. E., Fujii, S., Hegde, S., Hu, C.-P., Jabbour, J., Lew-Williams, C., Mangalagiu, D., McNamara, R., Müllensiefen, D., Opondo, P., Patel, A., & Schippers, H. (In press). Building sustainable global collaborative networks: Recommendations from music studies and the social sciences. In E. H. Margulis, D. Loughridge, & P. Loui (Eds.), The science-music borderlands: Reckoning with the past, imagining the future (347-365). MIT Press. Preprint: http://doi.org/10.31234/osf.io/cb4ys

Youngblood, M., Ozaki, Y., & Savage, P. E. (In press). Cultural evolution and music. In J. J. Tehrani, J. R. Kendal, & R. L. Kendal (Eds.), The Oxford Handbook of Cultural Evolution. Oxford University Press. Preprint: https://doi.org/10.31234/osf.io/xsb7v

Savage, P. E., Passmore, S., Chiba, G., Currie, T. E., Suzuki, H., & Atkinson, Q. D. (2022). Sequence alignment of folk song melodies reveals cross-cultural regularities of musical evolution. Current Biology, 32(6), 1395–1402.E8. https://doi.org/10.1016/j.cub.2022.01.039

Savage, P. E., & Fujii, S. (2022). Toward a cross-cultural framework for predictive coding of music. Nature Reviews Neuroscience, 23, 641. https://doi.org/10.1038/s41583-022-00622-4

Savage, P. E. (2022). An overview of cross-cultural music corpus studies. In D. Shanahan, A. Burgoyne, & I. Quinn (Eds.), Oxford Handbook of Music and Corpus Studies (C34.S1–C34.N2). Oxford University Press. http://doi.org//10.1093/oxfordhb/9780190945442.013.34

Ozaki, Y., Kuroyanagi, J., Chiba, G., McBride, J., Proutskova, P., Tierney, A. T., Pfordresher, P. Q., Benetos, E., Liu, F., & Savage, P. E. (2022). Similarities and differences in a cross-linguistic sample of song and speech recordings. Proceedings of the 2022 Joint Conference on Language Evolution, 569–572.

Daikoku, H., Shenghao, D., Sanne, U. S., Benetos, E., Wood, A. L. C., Shimozono, T., Fujii, S., & Savage, P. E. (2022). Human and automated estimates of musical similarity in a global sample. In Proceedings of the 10th International Workshop on Folk Music Analysis (FMA2022), 26-32. http://doi.org/10.5281/zenodo.7100288

Ozaki, Y., Sato, S., McBride, J. M., Pfordresher, P. Q., Tierney, A. T., Six, J., Fujii, S., & Savage, P. E. (2022). Automatic acoustic analyses quantify variation in pitch discreteness within and between human music, speech, and bird song. In Proceedings of the 10th International Workshop on Folk Music Analysis (FMA2022), 3-9. http://doi.org/10.5281/zenodo.7100288

Whitehouse, H., François, P., Savage, P. E., Hoyer, D., Feeney, K. C., Cioni, E., Purcell, R., Larson, J., Baines, J., ter Haar, B., Covey, A., & Turchin, P. Testing the Big Gods hypothesis with global historical data: A review and ‘retake’. (2022). Religion, Brain & Behavior. https://doi.org/10.1080/2153599X.2022.2074085

Turchin, P., Whitehouse, H., Larson, J., Cioni, E., Reddish, J., Hoyer, D., Savage, P. E., Covey, R. A., Baines, J., Altaweel, M., Anderson, E., Bol, P., Brandl, E., Carballo, D., Feinman, G., Korotayev, A., Kradin, N., Levine, J. D., Nugent, S. E., Squitieri, A.,Wallace, V., & François, P. (2022). Explaining the rise of moralizing religions: A test of competing hypotheses using the Seshat Databank. Religion, Brain & Behavior. https://doi.org/10.1080/2153599X.2022.2065345

Savage, P. E., Loui, P., Tarr, B., Schachner, A., Glowacki, L., Mithen, S., & Fitch, W. T. (2021). Music as a coevolved system for social bonding [one of two target articles accompanied by 60 commentaries]. Behavioral and Brain Sciences, 44(e59), 1-22. https://doi.org/10.1017/S0140525X20000333

Savage, P. E., Loui, P., Tarr, B., Schachner, A., Glowacki, L., Mithen, S., & Fitch, W. T. (2021). Author response: Toward inclusive theories of the evolution of musicality. Behavioral and Brain Sciences, 44(e121), 132-140. http://doi.org/10.1017/S0140525X21000042

Ozaki, Y., McBride, J., Benetos, E., Pfordresher, P., Six, J., Tierney, A. T., Proutskova, P., Sakai, E., Kondo, H., Fukatsu, H., Fujii, S., & Savage, P. E. (2021). Agreement among human and automated transcriptions of global songs. Proceedings of the 22nd International Conference on Music Information Retrieval (ISMIR 2021), 500-508.

Matsumae, H., Ranacher, P., Savage, P. E., Blasi, D., Currie, T. E., Sato, T., Koganebuchi, K., Nishida, N., Sato, T., Tanabe, H., Tajima, A., Brown, S., Stoneking, M., Shimizu, K. K., Oota, H., & Bickel, B. (2021). Exploring correlations in genetic and cultural variation across language families in Northeast Asia. Science Advances, 7(34), eabd9223. https://doi.org/10.1126/sciadv.abd9223

Youngblood, M., Baraghith, K., & Savage, P. E. (2021). Phylogenetic reconstruction of the cultural evolution of electronic music via dynamic community detection (1975–1999). Evolution and Human Behavior, 42(6), 573–582. https://doi.org/10.1016/j.evolhumbehav.2021.06.002

Jacoby, N., Polak, R., Grahn, J. A., Cameron, D. J., Lee, K. M., Godoy, R., Undurraga, E. A., Huanca, T., Thalwitzer, T., Doumbia, N., Goldberg, D., Margulis, E., Wong, P. C. M., Jure, L., Rocamora, M., Fujii, S., Savage, P. E., Ajimi, J., Konno, R., Oishi, S., Jakubowski, K., Holzapfel, A., Mungan, E., Kaya, E., Rao, P. Rohit, M. A., Alladi, S., Tarr, B., Anglada-Tort, M., Harrison, Peter M. C., McPherson, M. J., Dolan, S., Durango, A., & McDermott, J. H. (2021). Universality and cross-cultural variation in mental representations of music revealed by global comparison of rhythm priors. PsyArXiv preprint: https://doi.org/10.31234/osf.io/b879v

Savage, P. E., Ozaki, Y., & Trehub, S. E. (2021). Sampling criteria and recording quality influence relaxation responses to lullabies. PsyArXiv preprint. https://doi.org/10.31234/osf.io/dcg7m

Fudolig, M. I., Hiraoka, T., Savage, P. E., & Jo, H-H. (2021). Burstiness and hierarchy in tonal classical music. In Extended abstracts for the Late-Breaking Demo Session of the 22nd International Society for Music Information Retrieval Conference (ISMIR 2021)

Daikoku, H., Wood, A. L. C., & Savage, P. E. (2020). Musical diversity in India: A preliminary computational study using Cantometrics. Keio SFC Journal, 20(2), 34-61. https://gakkai.sfc.keio.ac.jp/journal/.assets/SFCJ20-2-03.pdf

Kitayama, Y., Savage, P. E., & Fujii, S. (2020). 歌の科学 [The science of song]. Keio SFC Journal, 20(2), 22-33. https://gakkai.sfc.keio.ac.jp/journal/.assets/SFCJ20-2-02.pdf

Yuan, Y., Oishi, S., Cronin, C., Müllensiefen, D., Atkinson, Q. D., Fujii, S., & Savage, P. E. (2020). Perceptual vs. automated judgments of music copyright infringement. In Proceedings of the 21st International Society for Music Information Retrieval Conference (ISMIR 2020), 23–29. https://doi.org/10.31234/osf.io/tq7v5 [awarded “Best Application”: https://www.ismir2020.net/awards]

Savage, P. E., Yamauchi, M., Hamaguchi, M., Tarr, B., Kitayama, Y., & Fujii, S. (2020). Rhythm, synchrony, and cooperation. PsyArXiv preprint: https://doi.org/10.31234/osf.io/46bd9

Savage, P. E. (2020). Measuring the cultural evolution of music: Cross-cultural and cross-genres case studies. PsyArXiv preprint. https://doi.org/10.31234/osf.io/mxrkw

Jacoby, N., Margulis, E., Clayton, M., Hannon, E., Honing, H., Iversen, J., Klein, T. R., London, J., Mehr, S., Pearson, L., Peretz, I., Perlman, M., Polak, R., Ravignani, A., Savage, P. E., Steingo, G., Stevens, C., Trainor, L., Trehub, S., Veal, M., Wald-Fuhrmann, M. (2020). Cross-cultural work in music cognition: Methodologies, pitfalls, and practices. Music Perception, 37(3), 185–195. https://doi.org/10.1525/mp.2020.37.3.185

Whitehouse, H., Turchin, P., François, P., Savage, P. E., Currie, T. E., Feeney, K. C., Cioni, E., Purcell, R., Ross, R. M., Larson, J., Baines, J., Haar, B. ter, & Covey, A. (2020). A new era in the study of global history is born but it needs to be nurtured. Journal of Cognitive Historiography, 5. https://doi.org/10.1558/jch.39422

Turchin, P., Whitehouse, H., François, P., Hoyer, D., Alves, A., Baines, J., Baker, D.,Bartkowiak, M., Bates, J., Bennett, J., Bidmead, J., Bol, P., Ceccarelli, A., Christakis, K., Christian, D., Covey, A., De Angelis, F., Earle, T. K., Edwards, N. R., Feinman, G., Grohmann, S., Holden, P. B., Júlíusson, Á., Korotayev, A., Kradin, N., Kristinsson, A., Larson, J., Litwin, O., Mair, V., Manning, J. G., Manning, P., Marciniak, A., McMahon, G., Miksic, J., Moreno Garcia, J. C., Morris, I., Mostern, R., Mullins, D., Oyebamiji, O., Peregrine, P., Petrie, C., Prieser-Kapeller, J., Rudiak-Gould, P., Sabloff, P., Savage, P. E., Spencer, C., Stark, M., ter Haar, B., Thurner, S., Wallace, V., Witoszek, N., Xie, L. (2020). An introduction to Seshat: Global History Databank. Journal of Cognitive Historiography, 5. https://doi.org/10.1558/jch.39395

Collins, C., Oyebamiji, O. K., Edwards, N. R., Holden, P. B., Williams, A., Jordan, G., Hoyer, D., Grohman, S., Savage, P. E., François, P., Whitehouse, H., Turchin, P., & Currie, T. E. (2020). Combining historical and archaeological data with crop models to estimate agricultural productivity in past societies. PsyArXiv preprint. https://doi.org/10.31235/osf.io/ky9wt

Kuroyanagi, J., Sato, S., Ho, M.-J., Chiba, G., Six, J., Pfordresher, P., Tierney, A., Fujii, S., & Savage, P. E. (2019). Automatic comparison of human music, speech, and bird song suggests uniqueness of human scales. In Proceedings of the 9th International Workshop on Folk Music Analysis (FMA2019), 35–40. https://doi.org/10.31234/osf.io/zpv5w

Sato, S., Six, J., Pfordresher, P., Fujii, S., & Savage, P. E. (2019). Automatic comparison of global children’s and adult songs supports a sensorimotor hypothesis for the origin of musical scales. In Proceedings of the 9th International Workshop on Folk Music Analysis (FMA2019), 41–46. https://doi.org/10.31234/osf.io/kt7py

Ding, D., Daikoku, H., Sanne, U. S., Kinoshita, M., Konno, R., Kitayama, Y., Fujii, S., Savage, P. E. (2019). Human and automated judgements of similarity in a global music sample: A preliminary analysis. In Extended abstracts for the Late-Breaking Demo Session of the 20th International Society for Music Information Retrieval Conference (ISMIR 2019). http://archives.ismir.net/ismir2019/latebreaking/000017.pdf

Chiba, G., Ho, M.-J., Sato, S., Kuroyanagi, J., Six, J., Pfordresher, P., Tierney, A., Fujii, S., & Savage, P. E. (2019). Small-integer ratios predominate throughout the world’s musical scales. PsyArXiv preprint: https://doi.org/10.31234/osf.io/5bghm

Savage, P. E. (2019). Cultural evolution of music. Palgrave Communications, 5(6), 1–12. http://doi.org/10.1057/s41599-019-0221-1

Savage, P. E. (2019). Universals. In J. L. Sturman (Ed.), The SAGE International Encyclopedia of Music and Culture (p. 2282–2285). Thousand Oaks: SAGE Publications. http://doi.org/10.4135/9781483317731.n759

Savage, P. E. (2019). Additional robustness analyses confirm that complex societies precede moralizing gods throughout world history. Nature Ecology & Evolution Community. https://go.nature.com/2vFpUj0

Savage, P. E. (2019). Cooperation and resilience: From music to religion. Nature Ecology & Evolution Community. https://go.nature.com/2VJo1N4

Freundlich, K. D., Biamonte, N., Covach, J., Cronin, C., Eskelin, G., Fink, R., Harrington, M., Leo, K. M., Osborn, B., Ricigliano, A., Savage, P. E., Selfridge-Field, E., Spicer, M., Walser, R. (2019). Amici curiae brief of musicologists in support of defendants-appellees at en banc rehearing (Michael Skidmore v. Led Zeppelin). https://cpb-us-w2.wpmucdn.com/blogs.law.gwu.edu/dist/a/4/files/2019/07/2019-07-01-Amici-Musicologists-in-Led-Zepp.pdf

Savage, P. E. (2018). Alan Lomax’s Cantometrics Project: A comprehensive review. Music & Science, 1, 1–19. http://doi.org/10.1177/2059204318786084

Turchin, P., Currie, T. E., Whitehouse, H., François, P., Feeney, K., Mullins, D., Hoyer, D., Collins, C., Grohmann, S., Savage, P. E., Mendel-Gleason, G., Turner, E., Dupeyron, A., Cioni, E., Reddish, J., Levine, J., Jordan, G., Brandl, E., Williams, A., Cesaretti, R., Krueger, M., Cecceralli, A., Figliulo-Rosswurm, J., Peregrine, P., Marciniak, A., Preiser-Kapeller, J., Kradin, N., Korotayev, A., Palmisano, A., Baker, D., Bidmead, J., Bol, P., Christian, D., Cook, C., Covey, A., Feinman, G., Júlíusson, Á. D., Kristinsson, A., Miksic, J., Mostern, R., Petrie, C., Rudiak-Gould, P., ter Haar, B., Wallace, V., Mair, V., Xie, L., Baines, J., Bridges, E., Manning, J., Lockhart, B., Tuan, P.-J., Bogaard, A., & Spencer, C. (2018). Quantitative historical analysis uncovers a single dimension of complexity that structures global variation in human social organization. Proceedings of the National Academy of Sciences of the United States of America. 115(2), E144–E151. http://doi.org/10.1073/pnas.1708800115

Currie, T. E., Turchin, P., Whitehouse, H., Francois, P., Feeney, K., Mullins, D., Hoyer, D., Collins, C., Grohmann, S., Savage, P. E., Mendel-Gleason, G., Turner, E., Dupeyron, A., Cioni, E., Reddish, J., Levine, J., Jordan, G., Brandl, E., Williams, A., Cesaretti, R., Krueger, M., Cecceralli, A., Figliulo-Rosswurm, J., Peregrine, P., Marciniak, A., Preiser-Kapeller, J., Kradin, N., Korotayev, A., Palmisano, A., Baker, D., Bidmead, J., Bol, P., Christian, D., Cook, C., Covey, A., Feinman, G., Júlíusson, Á. D., Kristinsson, A., Miksic, J., Mostern, R., Petrie, C., Rudiak-Gould, P., ter Haar, B., Wallace, V., Mair, V., Xie, L., Baines, J., Bridges, E., Manning, J., Lockhart, B., Tuan, P.-J., Bogaard, A., Spencer, C. (2018). Reply to Tosh et al: Quantitative analyses of cultural evolution require engagement with historical and archaeological research. Proceedings of the National Academy of Sciences of the United States of America. http://doi.org/10.1073/pnas.1807312115

Mullins, D. A., Hoyer, D., Collins, C., Currie, T., Fenney, K., François, P., Savage, P. E., Whitehouse, H., Turchin, P. (2018). A systematic assessment of “Axial Age” proposals using global comparative historical evidence. American Sociological Review, 83(3), 596–626. http://doi.org/10.1177/0003122418772567

Ellis, B. K., Hwang, H., Savage, P. E., Pan, B.-Y., Cohen, A. J., & Brown, S. (2018). Identifying style-types in a sample of musical improvisations using dimensional reduction and cluster analysis. Psychology of Aesthetics, Creativity, and the Arts. 12(1), 110–122. http://doi.org/10.1037/aca0000072

Savage, P. E., Cronin, C., Müllensiefen, D., & Atkinson, Q. D. (2018). Quantitative evaluation of music copyright infringement. In Proceedings of the 8th International Workshop on Folk Music Analysis (FMA2018), 61–66. http://fma2018.mus.auth.gr/files/papers/FMA2018_paper_4.pdf

Ho, M.-J., Sato, S., Kuroyanagi, J., Six, J., Brown, S., Fujii, S., & Savage, P. E. (2018). Automatic analysis of global music recordings suggests scale tuning universals. In Extended abstracts for the Late-Breaking Demo Session of the 19th International Society for Music Information Retrieval Conference (ISMIR 2018), Paris, France. http://doi.org/10.31234/osf.io/zv6pf

Daikoku, H., Kinoshita, M., Fujii, S., & Savage, P. E. (2018). Human vs. automated judgements of cross-cultural musical similarity. In Extended abstracts for the Late-Breaking Demo Session of the 19th International Society for Music Information Retrieval Conference (ISMIR 2018), Paris, France. http://doi.org/10.31234/osf.io/x67nh

Sato, S., Fujii, S., & Savage, P. E. (2018). Automated comparison of children’s and adult songs supports the vocal mistuning theory of scale origins. In Extended abstracts for the Late-Breaking Demo Session of the 19th International Society for Music Information Retrieval Conference (ISMIR 2018), Paris, France. http://doi.org/10.31234/osf.io/ptvw7

Konno, R., Savage, P. E., Schlaug, G., & Fujii, S. (2018). Development and reliability of the Harvard Beat Assessment Test iOS app. In Extended abstracts for the Late-Breaking Demo Session of the 19th International Society for Music Information Retrieval Conference (ISMIR 2018), Paris, France. https://tinyurl.com/konno2018ismir

Savage, P. E., Tierney, A. T., & Patel, A. D. (2017). Global music recordings support the motor constraint hypothesis for human and avian song contour. Music Perception, 34(3), 327–334. http://doi.org/10.1525/mp.2017.34.3.327

Savage, P. E. (2017). “Deep diversity” and other reflections on the inaugural Cultural Evolution Society conference. Seshat: Global History Databank blog. (http://seshatdatabank.info/cultural_evolution_society/).

Savage, P. E. (2017). “Solutions in search of a problem”: Commentary on Videira and Rosa (2017). Empirical Musicology Review, 12(3–4), 244–246. http://doi.org/10.18061/emr.v12i3-4.5775

Savage, P. E. (2017). 音楽の文化的進化を測る――ブリティッシュ・アメリカンと日本の民謡・ポップス・古典音楽の事例を通して [Measuring the cultural evolution of music: With case studies of British-American and Japanese folk, pop, and art music]. PhD dissertation in Musicology, Tokyo University of the Arts. http://tinyurl.com/SavagePhD

Savage, P. E. & Currie, T. E. (2017). Music perception: No strong evidence to reject innate biases. SocArXiv preprint: http://doi.org/10.31235/osf.io/964ut

Savage, P. E., Brown, S., Sakai, E., & Currie, T.E. (2015). Statistical universals reveal the structures and functions of human music. Proceedings of the National Academy of Sciences of the United States of America, 112(29), 8987–8992. http://doi.org/10.1073/pnas.1414495112

Savage, P. E., Matsumae, H., Oota, H., Stoneking, M., Currie, T.E., Tajima, A., Gillan, M., & Brown, S. (2015). How 'circumpolar' is Ainu music? Musical and genetic perspectives on the history of the Japanese archipelago. Ethnomusicology Forum, 24(3), 443-467. http://doi.org/10.1080/17411912.2015.1084236

Savage, P. E., & Atkinson, Q. D. Automatic tune family identification by musical sequence alignment. (2015). In Proceedings of the 16th International Society for Music Information Retrieval Conference (ISMIR 2015), 162-168. http://ismir2015.uma.es/articles/76_Paper.pdf

Leroi, A., Mauch, M., Savage, P. E., Benetos, E., Bello, J., Panteli, M., Six, J., & Weyde, T. (2015). The deep history of music project. In Proceedings of the Folk Music Analysis 2015 Workshop (pp. 83–84). http://researchgate.net/publication/286926649_The_Deep_History_of_Music_Project

Savage, P. E. & Brown, S. (2014). Mapping music: Cluster analysis of song-type frequencies within and between cultures. Ethnomusicology, 58(1), 133-155. http://doi.org/10.5406/ethnomusicology.58.1.0133

Savage, P. E. & Brown, S. (2014). Pour une nouvelle musicologie comparée: Cinq champs de recherche, cinq débats essentiels [Toward a new comparative musicology: Five key areas and debates]. Anthropologie et Sociétés, 38(1), 193-216. http://doi.org/10.7202/1025814ar

Brown, S., Savage, P. E., Ko, A. M.-S., Stoneking, M., Ko, Y.-C., Loo, J.-H., & Trejaut, J.A. (2014). Correlations in the population structure of music, genes, and language. Proceedings of the Royal Society B: Biological Sciences, 281(1774), 20132072. http://doi.org/10.1098/rspb.2013.2072

Takezawa, Y., Kato, K., Oota, H., Caulfield, T., Fujimoto, A., Honda, S., Kamatani, N., Kawamura, S., Kawashima, K., Kimura, R., Matsumae, H., Saito, A., Savage, P. E., Seguchi, N., Shimizu, K., Terao, S., Yamaguchi-Kabata, Y., Yasukouchi, A., Yoneda, M., Tokunaga, K. (2014). Human genetic research, race, ethnicity and the labeling of populations: Recommendations based on an interdisciplinary workshop in Japan. BMC Medical Ethics, 15(33). http://doi.org/10.1186/1472-6939-15-33

Savage, P. E. (2014). 音楽と遺伝子からみた日本列島への民族移動――アイヌ音楽の事例を中心に [Music, genes, and the peopling of Japan: With special reference to the music of the Ainu (in Japanese)]. MA thesis in Musicology, Tokyo University of the Arts. http://tinyurl.com/SavageMA

Savage, P. E. & Brown, S. (2013). Toward a new comparative musicology. Analytical Approaches to World Music, 2(2), 148-197. https://www.researchgate.net/publication/283088191_Toward_a_new_comparative_musicology

Savage, P. E., Merritt, E., Rzeszutek, T., & Brown, S. (2012). CantoCore: A new cross-cultural song classification scheme. Analytical Approaches to World Music, 2(1), 87-137. https://www.researchgate.net/publication/265281686_CantoCore_A_New_Cross-Cultural_Song_Classification_Scheme

Rzeszutek, T., Savage, P. E., & Brown, S. (2012). The structure of cross-cultural musical diversity. Proceedings of the Royal Society B: Biological Sciences, 279(1733), 1602-1612. http://doi.org/10.1098/rspb.2011.1750

Savage, P. E. (2011). Musical evolution and human migration: Classification, quantification, and application. MSc thesis in Psychology, McMaster University. http://macsphere.mcmaster.ca/bitstream/11375/10988/1/fulltext.pdf