Learning Content Similarity for Music Recommendation

Total Page:16

File Type:pdf, Size:1020Kb

Learning Content Similarity for Music Recommendation JOURNAL OF LATEX CLASS FILES, VOL. 6, NO. 1, JANUARY 2007 1 Learning content similarity for music recommendation Brian McFee, Student member, IEEE, Luke Barrington, Student member, IEEE, and Gert Lanckriet, Member, IEEE Abstract—Many tasks in music information retrieval, such Query song as recommendation, and playlist generation for online radio, Similar songs + fall naturally into the query-by-example setting, wherein a user + queries the system by providing a song, and the system responds - - + + with a list of relevant or similar song recommendations. Such + - applications ultimately depend on the notion of similarity between - - items to produce high-quality results. Current state-of-the-art + Recommendation 1 - - - - - systems employ collaborative filter methods to represent musical + Recommendation 2 - - - items, effectively comparing items in terms of their constituent + Recommendation 3 - - -- - users. While collaborative filter techniques perform well when + Recommendation 4 - Dissimilar songs historical data is available for each item, their reliance on + Recommendation 5 historical data impedes performance on novel or unpopular items. To combat this problem, practitioners rely on content-based Results Similarity space similarity, which naturally extends to novel items, but is typically out-performed by collaborative filter methods. Fig. 1. Query-by-example recommendation engines allow a user to search In this article, we propose a method for optimizing content- for new items by providing an example item. Recommendations are formed based similarity by learning from a sample of collaborative filter by computing the most similar items to the query item from a database of data. The optimized content-based similarity metric can then be potential recommendations. applied to answer queries on novel and unpopular items, while still maintaining high recommendation accuracy. The proposed system yields accurate and efficient representations of audio infer similarities between items, and recommend new items content, and experimental results show significant improvements to users by representing and comparing these items in terms in accuracy over competing content-based recommendation tech- niques. of the people who use them [1]. Within the domain of music information retrieval, recent studies have shown that Index Terms—Audio retrieval and recommendation, music CF systems consistently outperform alternative methods for information retrieval, query-by-example, collaborative filters, structured prediction. playlist generation [2] and semantic annotation [3]. However, collaborative filters suffer from the dreaded “cold start” prob- EDICS Category: AUD-CONT lem: a new item cannot be recommended until it has been purchased, and it is less likely to be purchased if it is never I. INTRODUCTION recommended. Thus, only a tiny fraction of songs may be recommended, making it difficult for users to explore and N effective notion of similarity forms the basis of many discover new music [4]. A applications involving multimedia data. For example, an The cold-start problem has motivated researchers to im- arXiv:1105.2344v1 [cs.MM] 12 May 2011 online music store can benefit greatly from the development prove content-based recommendation engines. Content-based of an accurate method for automatically assessing similarity systems operate on music representations that are extracted between two songs, which can in turn facilitate high-quality automatically from the audio content, eliminating the need for recommendations to a user by finding songs which are similar human feedback and annotation when computing similarity. to her previous purchases or preferences. More generally, high- While this approach naturally extends to any item regardless quality similarity can benefit any query-by-example recom- of popularity, the construction of features and definition of mendation system, wherein a user presents an example of an similarity in these systems are frequently ad-hoc and not item that she likes, and the system responds with, e.g., a ranked explicitly optimized for the specific task. list of recommendations. In this paper, we propose a method for optimizing content- The most successful approaches to a wide variety of rec- based audio similarity by learning from a sample of collabo- ommendation tasks — including not just music, but books, rative filter data. Based on this optimized similarity measure, movies, etc. — is collaborative filters (CF). Systems based recommendations can then be made where no collaborative on collaborative filters exploit the “wisdom of crowds” to filter data is available. The proposed method treats similarity B. McFee is with the Department of Computer Science and Engineering, learning as an information retrieval problem, where similarity University of California at San Diego, La Jolla, CA, 92093 USA (e-mail: is learned to optimize the ranked list of results in response to [email protected]). a query example (Figure 1). Optimizing similarity for rank- L. Barrington and G. Lanckriet are with the Department of Electrical and Computer Engineering, University of California at San Diego, La Jolla, CA, ing requires more sophisticated machinery than, e.g., genre 92093 USA (e-mail [email protected]; [email protected]). classification for semantic search. However, the information 2 JOURNAL OF LATEX CLASS FILES, VOL. 6, NO. 1, JANUARY 2007 retrieval approach offers a few key advantages, which we partially based on collaborative filters1) produces playlists of believe are crucial for realistic music applications. First, there equal or higher quality than competing methods based on are no assumptions of transitivity or symmetry in the proposed acoustic content or meta-data. method. This allows, for example, that “The Beatles” may Finally, there has been some previous work addressing the be considered a relevant result for “Oasis”, but not vice cold-start problem of collaborative filters for music recom- versa. Second, CF data can be collected passively from users mendation by integrating audio content. Yoshii et al. [12] by mining their listening histories, thereby directly capturing formulate a joint probabilistic model of both audio content their listening habits. Finally, optimizing similarity for ranking and collaborative filter data in order to predict user ratings directly attacks the main quantity of interest: the ordered list of songs (using either or both representations), whereas our of retrieved items, rather than coarse abstractions of similarity, goal here is to use audio data to predict the similarities such as genre agreement. derived from a collaborative filter. Our problem setting is most similar to that of Stenzel and Kamps [13], wherein a CF matrix was derived from playlist data, clustered into latent A. Related work “pseudo-genres,” and classifiers were trained to predict the Early studies of musical similarity followed the general cluster membership of songs from audio data. Our proposed strategy of first devising a model of audio content (e.g., setting differs in that we derive similarity at the user level spectral clusters [5] or Gaussian mixture models [6]), ap- (not playlist level), and automatically learn the content-based plying some reasonable distance function (e.g., earth-mover’s song similarity that directly optimizes the primary quantity of distance or Kullback-Leibler divergence), and then evaluating interest in an information retrieval system: the quality of the the proposed similarity model against some source of ground rankings it induces. truth. Logan and Salomon [5] and Aucouturier and Pachet [6] evaluated against three notions of similarity between songs: B. Our contributions same artist, same genre, and human survey data. Artist or genre agreement entail strongly binary notions of similarity, Our primary contribution in this work is a framework for which due to symmetry and transitivity may be unrealistically improving content-based audio similarity by learning from a coarse in practice. Survey data can encode subtle relationships sample of collaborative filter data. Toward this end, we first between items, for example, triplets of the form “A is more develop a method for deriving item similarity from a sample similar to B than to C” [6]–[8]. However, the expressive of collaborative filter data. We then use the sample similarity power of human survey data comes at a cost: while artist or to train an optimal distance metric over audio descriptors. genre meta-data is relatively inexpensive to collect for a set of More precisely, a distance metric is optimized to produce songs, similarity survey data may require human feedback on high-quality rankings of the training sample in a query-by- a quadratic (for pairwise ratings) or cubic (for triplets) number example setting. The resulting distance metric can then be of comparisons between songs. applied to previously unseen data for which collaborative filter data is unavailable. Experimental results verify that the pro- Later work in musical similarity approaches the problem posed methods significantly outperform competing methods in the context of supervised learning: given a set of training for content-based music retrieval. items (songs), and some knowledge of similarity across those items, the goal is to learn a similarity (distance) function that can predict pairwise similarity. Slaney et al. [9] derive C. Preliminaries similarity from web-page co-occurrence, and evaluate several For a d-dimensional vector u ∈ Rd let u[i] denote its ith supervised and unsupervised
Recommended publications
  • Db:Scanner (Band)"Stephan O'mallie"@En"Maurycy "Mauser" Stefanowicz"@En "Wildeþrýð"@En Db:Nihilist (Band) "Dave Edwards"@En "Ashish Kumar"@Endb:Krieg (Band) "W.D
    db:Amalie_Bruun "Dominik Immler"@en "Frater D."@en * Gunnar* Egill Þór* Birkir* Hafþór* Næturfrost "Simon O'Laoghaire"@en db:Kimmo_Heikkinen "Uri Zelcha"@en db:1349_(band) db:Dan-Ola_Persson "Itzik Levy"@en db:The_Kovenant "Zorugelion"@en "Derek MacAmhlaigh"@en db:Lord_Morbivod db:Zonata "Goran Paleka"@en "Johan Elving"@en "Damir Adžić"@en "Ines Tančeva"@en db:Alan_Averill "Elvorn"@en "Enrique Zúñiga Gomez"@en "Nick Oakes"@en db:Marcela_Bovio "Frank Calleja"@en "Miroslav Branković"@en "Maxime Aneca - Guitar"@en "*Lex Icon*Pzy-Clone*Hellhammer*Angel*Sverd"@en db:Alejandro_Mill%C3%A1n Ines Tan?eva "Cremator , Fermentor"@en Alejandro Díaz "MasterMike"@en "Maria "Tristessa" Kolokouri"@en "Martijn Peters"@en "Ivan Vasić"@en "Filip Letinić"@en "Eduardo Falaschi"@en A. db:Viathyn Bart Teetaert - Vocals "Lior Mizrachi"@en "Nikola Mijić"@en "Loke Svarteld"@en "Koen De Croo - Bass"@en "Chris Brincat"@en "Duke"@en db:The_Kovenant "Demian Tiguez"@en "*Tomislav Crnkovic*Dave Crnkovic*Jacob Wright*Alex Kot"@en "Fermentor Cremator , Fermentor"@en db:Lori_Linstruth Ivan Kutija "César Talarico"@en "Eden Rabin"@en db:Alex_Losbäck "Artyom"@en "Sami Bachar"@en "Marchozelos"@en "Morten"@en "* Wagner Lamounier* Roberto Raffan* Jairo Guedz* Max Cavalera* Igor Cavalera* Jean Dolabella"@en Lazar Zec - Guitar "Dave Hampton"@en "Wellu Koskinen"@en "VnoM"@en db:Sabbat_(Japanese_band) "* Christofer Johnsson* Thomas Vikström* Johan Koleberg* Nalle "Grizzly" Påhlsson* Christian Vidal* Lori Lewis"@en db:Arjen_Anthony_Lucassen "Mića Kovačević"@en "Roberto Raffan"@en db:Memnock db:Henrik_Carlsson db:Throllmas "Lazar Zec - Guitar"@en "Chris Calavrias"@enEric Hazebroek "Mathias"* PauloSchlegl"@en Jr.* Andreas Kisser* Derrick Green* Eloy Casagrande"@en"Yatziv Caspi"@en "Erkki Silvennoinen"@en "Gaahnt, Nattulv, Bahznar, Dermorh"@en "Marco Cecconi"@en Antti Kilpi "Gezol"@en Koen De Croo - Bass Elizabeth Toriser "Ze'ev Tananboim"@en db:Jukka_Kolehmainen J.
    [Show full text]
  • 130Db Metal Top 40-Vorige Week-SITE
    Deze Vorige Aantal Hoogste Band Single Album YT views Release week week weken notering afgelopen Datum week Album 322 282 4 179 Hildr Valkyrie We Are Heathens Revealing The Heathen Sun 13 14-05-2021 321 283 3 218 Von Veh Openly Remember Openly Remember (Single) 27 21-02-2021 320 246 2 246 Dormanth Odyssey in Time Complete Downfall 44 15-12-2020 319 267 3 202 Heavy Sentence Cold Reins Bang to Rights 63 28-05-2021 318 261 2 261 Bunker 66 The Ride of the Goat Beyond the Help of Prayers 72 30-04-2021 317 280 3 211 Mindless Sinner We go Together Turn on the Power 73 30-04-2021 316 272 6 186 Heavy Sentence Age of Fire Bang to Rights 74 20-05-2021 315 281 7 183 Herzel L’épée des Dieux Le Dernier Rempart 74 19-03-2021 314 231 2 231 Lucifuge Black Light of the Evening Star Infernal Power 78 10-04-2021 313 156 2 156 Eisenhand Dead of Night Fires Within 100 28-05-2021 312 274 3 197 Ossaert De Geest en de Vervoering Pelgrimsoord 104 04-06-2021 311 277 6 181 Miasmata Unlight: Songs of Earth and Unlight: Songs of Earth and 106 14-03-2021 Atrophy Atrophy 310 264 2 264 Backwood Spirit Catch Your Fire Fresh From the Can 118 23-04-2021 309 273 3 165 Necrophagous Order of the Lion In Chaos Ascend 121 Soon 308 252 2 252 Insane At Dawn They Die Victims 130 30-04-2021 307 269 5 178 Nordsind For Evigt Forblændet Lys 134 26-03-2021 306 275 4 125 Abyssus The Beast Within Death Revival 169 Onbekend 305 270 4 171 Backwood Spirit Witchwood Fresh From the Can 170 23-04-2021 304 196 2 196 Ande De Messentrekker Bos 173 18-04-2021 303 271 3 195 Axewitch The Pusher Out
    [Show full text]
  • The Experiences of Metal Fans with Mental and Developmental Disorders in the Metal Music Community
    1 The experiences of metal fans with mental and developmental disorders in the metal music community Kyle J. Messick, Blanca Aranda, Chris Day Coventry University Abstract A series of interviews were conducted to explore the experience of what it is like to be a member of metal music culture living with mental health conditions and/or developmental disabilities. Ten participants were interviewed, three of which had schizophrenia, four with autism spectrum disorder, two had bipolar affective disorder, and one had borderline personality disorder. Thematic analysis was utilized to explore the experiences of people living with various types of mental illness and developmental disabilities in the context of metal, which resulted in the development of three overarching themes. It was found that participants felt that the metal music community was more welcoming to them due to the broad use of lyrics about mental health topics and the prevalence of metal musicians that have mental health concerns. The broad application of mental health topics in metal was seen as having a de-stigmatizing effect towards mental health concerns, but at the cost of accuracy, as topics like schizophrenia are seen as fetishized and inaccurately depicted. Participants reported that the metal community affords its members with mental health conditions and developmental 2 disabilities a number benefits including a sense of belonging, the facilitation of mood maintenance, and the management of lesser symptoms. Symptom management appeared to be mitigated by symptom severity and influenced how participants experienced metal music. Keywords Mental illness, schizophrenia, autism, heavy metal, BPD, BPAD, belonging, stigma Introduction Metal music and its associated global musical culture began in the late 1960s and was characterized by a musical style that included loud volume, fast tempos, pounding percussion, and distorted guitars.
    [Show full text]
  • Informations Contacts Members Biography
    PESTIFER DEATH METAL INFORMATIONS BIOGRAPHY WWW.PESTIFER.BE Pestifer is a death metal band founded by twins 2010 MUSIC STYLE DEATH METAL Adrien Gustin (bass) and Phil Gustin (drums). The new album is done and the second track «Contagious» is selected to appear on «FYU Vo- 2004-2006 lume 8» sampler. Meanwhile «Sleepless Century», The twins met Antoine (guitar) and after sharing the third track, is featured on the «Combat Nasal» their ideas they started to play together. The sampler. « Age of Disgrace » received a lot of great CONTACTS line-up is completed with Morty on vocals and feedback from zines and fans, they all seem to E-MAIL [email protected] the band has about 10 songs. Pestifer record be very enthusiastic about the future of Pestifer. PHONE +32 479 66 36 37 their first demo and play live everywhere they The band starts to play more interesting gigs can. A good energy seems to emerge from these like Metal Mean festival with Mayhem, Macabre, ADDRESS ANTOINE PATERKA concerts. At the end of 2006, the band decides to Devourment and Rotting Christ. The 5 guys win RUE DU SART TILMAN 66 part ways with Morty. the Metal Mean contest. They also open for 4031 ANGLEUR - BELGIUM Watain and Deströyer 666. 2007 The guys still play some gigs with session 2011 vocalists also record a song called «Involution Pestifer get a record deal with Ultimhate Records Process», for the deathmetal.be sampler: «FYU and a re-mastered version of «Age of Digrace» is Volume 5», featuring Panda (ex-Pitbulls in the distributed around the world with mastering per- TOUR EXPERIENCE Nursery) on vocals.
    [Show full text]
  • Order Form Full
    METAL ARTIST TITLE LABEL RETAIL 1349 MASSIVE CAULDRON OF CHAOS (SPLATTER SEASON OF MIST RM121.00 16 LIFESPAN OF A MOTH RELAPSE RM111.00 16 LOST TRACTS OF TIME (COLOR) LAST HURRAH RM110.00 3 INCHES OF BLOOD BATTLECRY UNDER A WINTERSUN WAR ON MUSIC RM102.00 3 INCHES OF BLOOD HERE WAITS THY DOOM WAR ON MUSIC RM113.00 ACID WITCH MIDNIGHT MOVIES HELLS HEADBANGER RM110.00 ACROSS TUNDRAS DARK SONGS OF THE PRAIRIE KREATION RM96.00 ACT OF DEFIANCE BIRTH & THE BURIAL (180 GR) METAL BLADE RM147.00 ADMIRAL SIR CLOUDESLEY SHOVELL KEEP IT GREASY! (180 GR) RISE ABOVE RM149.00 ADMIRAL SIR CLOUDSLEY SHOVELL CHECK 'EM BEFORE YOU WRECK 'EM RISE ABOVE RM149.00 AGORAPHOBIC NOSEBLEED FROZEN CORPSE STUFFED WITH DOPE RELAPSE RECORDS RM111.00 AILS THE UNRAVELING FLENSER RM112.00 AIRBOURNE BLACK DOG BARKING ROADRUNNER RM182.00 ALDEBARAN FROM FORGOTTEN TOMBS KREATION RM101.00 ALL OUT WAR FOR THOSE WHO WERE CRUCIFIED VICTORY RECORDS RM101.00 ALL PIGS MUST DIE NOTHING VIOLATES THIS NATURE SOUTHERN LORD RM101.00 ALL THAT REMAINS MADNESS RAZOR & TIE RM138.00 ALTAR EGO ART COSMIC KEY CREATIONS RM119.00 ALTAR YOUTH AGAINST CHRIST COSMIC KEY CREATIONS RM123.00 AMEBIX MONOLITH (180 GR) BACK ON BLACK RM141.00 AMEBIX SONIC MASS EASY ACTION RM129.00 AMENRA ALIVE CONSOULING SOUND RM139.00 AMENRA MASS I CONSOULING SOUND RM122.00 AMENRA MASS II CONSOULING SOUND RM122.00 AMERICAN HERITAGE SEDENTARY (180 GR CLEAR) GRANITE HOUSE RM98.00 AMORT WINTER TALES KREATION RM101.00 ANAAL NATHRAKH IN THE CONSTELLATION OF THE.. (PIC) BLACK SLEEVES RM128.00 ANCIENT VVISDOM SACRIFICIAL MAGIC
    [Show full text]
  • 313 3D in Your Face 44 Magnum 5 X a Cosmic Trail A
    NORMALPROGRAMM, IMPORTE, usw. Richtung Within Temptation mit einem guten Schuß Sentenced ALLOY CZAR ANGEL SWORD ACCUSER Awaken the metal king CD 15,50 Rebels beyond the pale CD 15,50 Dependent domination CD 15,50 Moderater NWoBHM Sound zwischen ANGRA BITCHES SIN, SARACEN, DEMON, Secret garden CD 15,50 Diabolic CD 15,50 SATANIC RITES gelegen. The forlorn divide CD 15,50 ALLTHENIKO ANGRA (ANDRE MATOS) Time to be free CD 29,00 ACID Back in 2066 CD 15,50 Japan imp. Acid CD 18,00 Devasterpiece CD 15,50 ANGUISH FORCE Engine beast CD 18,00 Millennium re-burn CD 15,50 2: City of ice CD 12,00 ACRIDITY ALMANAC 3: Invincibile imperium Italicum CD 15,50 For freedom I cry & bonustracks CD 17,00 Tsar - digibook CD & DVD 18,50 Cry, Gaia cry CD 12,00 ACTROID ALMORA Defenders united MCD 8,00 Crystallized act CD 29,00 1945 CD 15,50 Japan imp. RRR (1998-2002) CD 15,50 Kalihora´s song CD 15,50 Sea eternally infested CD 12,00 ABSOLVA - Sid by side CD 15,50 ADRAMELCH Kiyamet senfonisi CD 15,50 Broken history CD 15,50 ANIMETAL USA Shehrazad CD 15,50 Lights from oblivion CD 15,50 W - new album 2012 CD 30,00 313 ALTAR OF OBLIVION Japan imp. Opus CD 15,50 Three thirteen CD 17,00 Salvation CD 12,00 ANNIHILATED ADRENALINE KINGS 3D IN YOUR FACE ALTERED STATE Scorched earth policy CD 15,50 Same CD 15,50 Faster and faster CD 15,50 Winter warlock CD 15,50 ANNIHILATOR ADRENICIDE Eine tolle, packende Mischung aus AMARAN Alice in hell CD 12,00 PREMONITION (Florida) ILIUM, HAN- War begs no mercy CD 15,50 KER und neueren JAG PANZER.
    [Show full text]
  • NEW RELEASE GUIDE August 20 August 27 ORDERS DUE JULY 16 ORDERS DUE JULY 23
    ada–music.com @ada_music NEW RELEASE GUIDE August 20 August 27 ORDERS DUE JULY 16 ORDERS DUE JULY 23 2021 ISSUE 18 August 20 ORDERS DUE JULY 16 PHYSICAL OUT 8.20.21 HIGHLIGHTS • Nearing 700K albums sold collectively in the United States • BTBAM’s Automata I (2018) sold over 13.5K albums first week • “Automata I” Billboard chart positions: #1 Independent, #4 Hard Music, #6 Rock Albums, #8 Top Albums • BTBAM’s Automata II (2018) sold over 10K albums first week “Automata II” Billboard chart positions: #1 Hard Music, #1 Independent, #1 Internet, #2 • ARTIST : BETWEEN THE BURIED AND ME Rock Albums, #7 Top Albums TITLE : COLORS II • BTBAM’s “Coma Ecliptic” (2015), debuted #12 on the Top 200, #1 Top Rock and Hard CATALOG # : SUM1547 Music, #1 Vinyl Albums UPC : 810016764472 BOX LOT : 30 • Tour History includes: SOLD OUT headline tours, and supporting acts such as Coheed and HOMETOWN : NORTH CAROLINA Cambria, Meshuggah, The Devin Townsend Project, Mastodon, Animals As Leaders + more GENRE : METAL / ROCK MSRP : $12.98 • BTBAM will be on tour Aug/Sept 2021 in support of their 21 year anniversary • BTBAM has an incredible die-hard fan base with over 6M reach through social media platforms * Returnable MARKETING POINTS TRACKLISTING • ‘Colors II’ will be available Digitally, CD and on VINYL 1. MONOCHROME • Consumer ad plan includes social media platforms such at Facebook and Instagram, in 2. THE DOUBLE HELIX OF EXTINCTION addition to search engine redirection associated campaign efforts, and both digital and 3. REVOLUTION IN LIMBO 4. FIX THE ERROR physical publications 5. NEVER SEEN/FUTURE SHOCK 6.
    [Show full text]
  • Universitá Degli Studi Di Milano Facoltà Di Scienze Matematiche, Fisiche E Naturali Dipartimento Di Tecnologie Dell'informazione
    UNIVERSITÁ DEGLI STUDI DI MILANO FACOLTÀ DI SCIENZE MATEMATICHE, FISICHE E NATURALI DIPARTIMENTO DI TECNOLOGIE DELL'INFORMAZIONE SCUOLA DI DOTTORATO IN INFORMATICA Settore disciplinare INF/01 TESI DI DOTTORATO DI RICERCA CICLO XXIII SERENDIPITOUS MENTORSHIP IN MUSIC RECOMMENDER SYSTEMS Eugenio Tacchini Relatore: Prof. Ernesto Damiani Direttore della Scuola di Dottorato: Prof. Ernesto Damiani Anno Accademico 2010/2011 II Acknowledgements I would like to thank all the people who helped me during my Ph.D. First of all I would like to thank Prof. Ernesto Damiani, my advisor, not only for his support and the knowledge he imparted to me but also for his capacity of understanding my needs and for having let me follow my passions; thanks also to all the other people of the SESAR Lab, in particular to Paolo Ceravolo and Gabriele Gianini. Thanks to Prof. Domenico Ferrari, who gave me the possibility to work in an inspiring context after my graduation, helping me to understand the direction I had to take. Thanks to Prof. Ken Goldberg for having hosted me in his laboratory, the Berkeley Laboratory for Automation Science and Engineering at the University of California, Berkeley, a place where I learnt a lot; thanks also to all the people of the research group and in particular to Dmitry Berenson and Timmy Siauw for the very fruitful discussions about clustering, path searching and other aspects of my work. Thanks to all the people who accepted to review my work: Prof. Richard Chbeir, Prof. Ken Goldberg, Prof. Przemysław Kazienko, Prof. Ronald Maier and Prof. Robert Tolksdorf. Thanks to 7digital, our media partner for the experimental test, and in particular to Filip Denker.
    [Show full text]
  • KUHLMANN-THESIS-2018.Pdf (1.113Mb)
    FEMALE METAL FANS AND THE PERCEIVED POSITIVE EFFECTS OF METAL MUSIC A Thesis Submitted to the College of Graduate and Postdoctoral Studies In Partial Fulfillment of the Requirements For the Degree of Master In the Department of Educational Psychology and Special Education University of Saskatchewan By Anna Noura Kuhlmann Copyright Anna Noura Kuhlmann, January 2018. All rights reserved PERMISSION TO USE In presenting this thesis in partial fulfillment of the requirements for a Postgraduate degree from the University of Saskatchewan, I agree that the Libraries of this University may make it freely available for inspection. I further agree that permission for copying of this thesis in any manner, in whole or in part, for scholarly purposes may be granted by the professor or professors who supervised my thesis work or, in their absence, by the Head of the Department or the Dean of the College in which my thesis work was done. It is understood that any copying or publication or use of this thesis or parts thereof for financial gain shall not be allowed without my written permission. It is also understood that due recognition shall be given to me and to the University of Saskatchewan in any scholarly use which may be made of any material in my thesis. Requests for permission to copy or to make other uses of materials in this thesis in whole or part should be addressed to: Head of the Department of Educational Psychology and Special Education 28 Campus Drive University of Saskatchewan Saskatoon, Saskatchewan, S7N 0X1 Canada OR Dean College of Graduate and Postdoctoral Studies University of Saskatchewan 105 Administration Place Saskatoon, Saskatchewan, S7N 5A2 Canada i ABSTRACT Despite increasing literature that confirms the therapeutic benefits of music, metal music is still stigmatized as sexist, masculine, and detrimental to its fans.
    [Show full text]
  • Women in New York's Extreme Metal Music Scene
    City University of New York (CUNY) CUNY Academic Works School of Arts & Sciences Theses Hunter College Fall 12-21-2016 Individual Thought Patterns: Women in New York's Extreme Metal Music Scene Joan M. Jocson-Singh CUNY Hunter College How does access to this work benefit ou?y Let us know! More information about this work at: https://academicworks.cuny.edu/hc_sas_etds/134 Discover additional works at: https://academicworks.cuny.edu This work is made publicly available by the City University of New York (CUNY). Contact: [email protected] Individual Thought Patterns: Women in New York's Extreme Metal Music Scene by Joan Jocson-Singh Submitted in partial fulfillment of the requirements for the degree of Master of Arts Anthropology, Hunter College The City University of New York 2016 Thesis Sponsor: October 2, 2016 Dr. Jonathan Shannon Date Signature of First Reader October 2, 2016 Dr. Aminata Maraesa Date Signature of Second Reader ii Abstract Extreme metal music (EMM) is both an umbrella term and a sub-category of heavy metal, with origins in the early 1980s. It is a complex amplification of heavy metal that has garnered increased attention during the last two decades due to some bands becoming more popular and accessible than anticipated for the styles it comprises. Although women have a small but steady presence in heavy metal, this number shrinks when applied to extreme metal - a subculture which has typically been coded as a masculine domain (Purcell 2003; Kahn-Harris 2007; Walser 1993; Weinstein 1991). For women, participating in such an overwhelmingly male-coded environment can incur sexism, marginalization, and misogyny.
    [Show full text]
  • Wednesda Y 15.08.2018 Thursday 16.08.2018 Friday
    11:00 - 11:45 SIRENIA 11:55 - 12:40 PRO-PAIN 12:50 - 13:35 BACKYARD BABIES 13:45 - 14:45 ORDEN OGAN 14:55 - 15:55 JASTA 16:05 - 17:05 SCHANDMAUL 17:20 - 18:20 ALESTORM 18:35 - 19:50 EISBRECHER MAIN STAGE 20:10 - 21:40 BEHEMOTH 22:00 - 23:30 POWERWOLF 23:45 - 00:45 SUICIDAL TENDENCIES 01:00 - 02:00 DIE APOKALYPTISCHEN REITER 12:00 - 12:45 NERVOSA 13:15 - 14:00 MALEVOLENCE 13:00 - 14:40 Fantasy Filmfest presents: 'Metalhead' 14:30 - 15:15 EXHORDER 15:00 - 16:40 Fantasy Filmfest presents: 'Metalhead' 15:45 - 16:30 OBSCURA TUESDAY 14.08.2018 TUESDAY 17:00 - 19:00 THE ROCK`N`ROLL WRESTLING BASH 17:00 - 17:45 MUNICIPAL WASTE FICKEN 20:00 - 21:30 TRAGEDY 18:15 - 19:00 THE BLACK DAHLIA MURDER PARTY STAGE PARTY 22:00 - 02:00 Radio Bob Disco 19:30 - 20:30 COMEBACK KID T-STAGE 21:15 - 22:15 ESKIMO CALLBOY 14:30 - 15:15 ANY GIVEN DAY 23:00 - 00:00 CANNIBAL CORPSE 00:45 - 01:45 MARDUK 16:00 - 16:45 THE NIGHT FLIGHT ORCHESTRA 02:15 - 03:00 HEILUNG 17:30 - 18:15 FARMER BOYS 19:00 - 20:00 KATAKLYSM 12:45 - 13:15 VENUES 20:45 - 21:45 SEPULTURA 14:00 - 14:30 FOREVER STILL 15:15 - 15:45 STILLBIRTH T-STAGE 22:30 - 23:30 PARADISE LOST 00:15 - 01:15 GRAVEYARD 16:30 - 17:00 NECROTTED THURSDAY 16.08.2018 THURSDAY 02:00 - 03:00 ROSS THE BOSS 17:45 - 18:15 LÜT 19:00 - 19:30 BAEST 13:30 - 14:30 BLASMUSIK ILLENSCHWANG 20:30 - 21:15 PALLBEARER 15:15 - 16:00 MONUMENT 22:15 - 23:00 CELESTE 16:45 - 17:30 DEATHRITE STAGE CAMEL 00:00 - 00:45 EREB ALTOR 18:15 - 19:00 AUÐN 01:45 - 02:15 WHEEL 20:00 - 20:45 RAM 10:00 - 13:00 Weisswurstfrühstück / DEWANGER TURMBLÄSER 21:45 - 22:30 WARBRINGER 14:00 - 15:00 BEMBERS 23:30 - 00:15 PILLORIAN CAMEL STAGE CAMEL 16:00 - 16:30 TRAGEDY OF MINE 01:15 - 02:00 EVIL SCARECROW 17:00 - 17:30 NIGHT LASER 17:00 - 19:00 THE ROCK`N`ROLL WRESTLING BASH FICKEN 18:00 - 18:30 GROOVENOM WEDNESDAY 15.08.2018 WEDNESDAY 20:00 - 21:00 MORBID ALCOHOLICA STAGE PARTY 19:00 - 19:45 BLOODRED HOURGLASS FICKEN PARTY STAGE PARTY 21:30 - 02:00 Metal.de Disco 21:00 - 02:00 Ficken Disco 11:00 - 11:45 ANNISOKAY 11:00 - 11:45 PARASITE INC.
    [Show full text]
  • LINKS: Uu Nuclear Blast Video Clips · Nuclear Blast Bands on Tour · Nuclear Blast Albums in the Charts · New Songs on Spotify Uu
    New Release Information uu OCTOBER V.A. Release Date Pre-Order Start Death… Is Just The Beginning MXVIII uu 19/10/2018 uu 24/08/2018 Price Code: CD11 uu advertising in many important music magazines SEP/OCT 2018 NB 4556-2 CD uu album reviews, interviews in all important Metal magazines in Europe’s SEP/OCT 2018 issues uu song placements in European magazine compilations uu Spotify playlist placements in all European territories uu instore decoration: flyers uu Facebook, YouTube, Twitter, Google+ organic promotion uu Facebook ads and promoted posts + Google ads in both the search Price Code: LP17 and display networks, bing ads and gmail ads (tbc) NB 4556-1 2LP uu Banner advertising on more than 60 most important Metal & Rock (black in gatefold) websites all over Europe uu additional booked ads on Metal Hammer Germany and UK and in the Fixion network (mainly Blabbermouth) uu video and pre-roll ads on YouTube uu ad campaigns on iPhones for iTunes and Google Play for Androids Territory: World-JP uu banners, featured items at the shop, header images and a back- (TBC) ground on nuclearblast.de and nuclearblast.com uu features and banners in newsletters, as well as special mailings to targeted audiences in support of the release On “Death… Is Just The Beginning MXVIII” you will find deadly genre. The »Death… is Just The Beginning« compi- uu new demo songs from BENEDICTION and POSSESSED, lations paved the way of many soon to become legendary Tracklists: and if these tracks are an indicator of what to expect on acts such as PUNGENT STENCH, DISMEMBER, HYPOCRISY, CD: their new albums, every death metal fan will be in for a KATAKLYSM, etc.
    [Show full text]