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------ques of Volume 09 Volume 09. Autumn 2014 • on the web 2014 • Autumn 09. Volume Hong Kong’s wuxia films while working at the grungiest rehearsal grungiest the at working while films wuxia Kong’s Hong Adelaide and has up just north of studio in . He grew By and Bit Doll Baby bass in bands such as Scissor Pretty, played Bats. and administrator of The Ultimate Gig Guide, and has workedeven) and administrator of The Ultimate Gig Guide, the award winning bonzaon various cultural databases including Dyna with (mainly years 19 bands for in played has Alex database. mo) and at major music festivals in Melbourne. in with a primary interest professional, development is a software the design, development and management of business applications. He has designed high end for several tier one compa data solutions not over the last 25 years. When he’s nies in Australia and abroad hitting the keys he’s cranking out blues riffs on a Les Paul and a his own music. He also writes and records Fender Twin. a thesis analysing the editing techni Peter Gravestock wrote Memory, Imagination and Invention (CMII) and in 2013Memory, was rec most innovative academics. ognised as one of Australia’s specialising in the di- researcher Alwyn Davidson is an early career Alwyn’s at Deakin University. geovisualisation gital humanities and the data, humanities of include the visualisation interests research cultur of analysis the and techniques, spatial and GIS of application al datasets. film (a Collection Reseach AFI the at librarian a is Gionfriddo Alex library) within the School of Media and Communi and tv research Alex is the co founder (with Deb Verho cation at RMIT University. Deb Verhoeven is Professor and Chair of Media and Communication is Professor Deb Verhoeven for of the Centre She is the Deputy Director at Deakin University.

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“Songification” and Live Music Data and Live Music “Songification” Turning Gigabytes into Gigs Gigabytes into Turning Dr Peter Gravestock James Verhoeven James Verhoeven Alex Gionfriddo Dr Alwyn Davidson

Professor Deb Verhoeven Professor

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Alex Gionfriddo James Verhoeven Dr Alwyn Davidson Dr Alwyn Dr Peter Gravestock Volume 09 Professor Deb Verhoeven Deb Professor Turning Gigabytes into Gigs Gigabytes Turning (James, 1969) “A band is as good as it sounds band is as “A whether they play at Woy Woy or the Fillmore.” Woy whether they play at Woy Sonification, Creative industries, Live music, Songifica music, Live industries, Creative Sonification, Taking the music industry as a case study, this paper explores this paper explores study, the music industry as a case Taking bles, graphs, maps, and intricate and compelling visualisations. visualisations. compelling and intricate and maps, graphs, bles, for determining pat support strong provide Whilst visualizations has been comparatively terns in data, auditory pattern recognition and untested in data exploration and interpretation. underutilized One technique for data analysis that does exploit auditory percep tion is sonification; “the transformation ofrelations data into per signal for the purposes of facilitatingacoustic in an ceived relations This (Kramer et al., 1999, p. 4). communication or interpretation” Choosing to represent data in creative ways can advance the under data in creative Choosing to represent standing of complex behaviours and ideas. Most data exploration the forms of ta heavily on visual tools in relies and representation Keywords tion, Cultural data Introduction how data about historical live music gigs can be analysed, extend analysed, be can gigs music live historical about data how new insights. Using a unique process create to ed and re-presented data auditory enhanced how demonstrate we ‘songification’ called intuition. The case study a medium for aural design can provide also illustrates the benefits of an expanded and inclusive view of and communication, method and in which computation research; question of the larger to explore media, in combination enable us analyse, represent, to produce, how we can employ technologies deliver and exchange knowledge. Abstract as is represented challenging to understand when it Complex data is in a table. How even when it is structured written communication our under ways can aid data in creative choosing to represent ever, creative the ideas and patterns. In this regard, standing of complex industries have a deal great to offer data-intensivescholarly disci theyet data, interpret to used often not is example, for Music, plines. and anal to the representation of music lends itself nature rhythmic ysis of temporal data. quarter

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Alex Gionfriddo James Verhoeven Dr Alwyn Davidson Dr Alwyn Dr Peter Gravestock Volume 09 Professor Deb Verhoeven Deb Professor Turning Gigabytes into Gigs Gigabytes Turning Its capacity to involve 2-3 dimensions of data typical of visuali Its capacity to involve 2-3 dimensions inchanges and patterns temporal represent better to capacity Its adding another Its ability to be combined with visualisations, sations data another task busy at dimension when the eyes are There There are however a number of different types and techniques art and entertainment (Walker and Nees, 2011). This paper is par and Nees, 2011). art and entertainment (Walker ticularly concerned with (3) data exploration and (4) art and enter intended to communicate tainment. Data exploration functions are about information of relevant or subset dataset a information about by what is most generally meant a dataset and can be considered the term ‘sonification’. Data exploration sonification techniques in clude parameter mapping (for examples see Flowers and Hauer, Stock and Hermann, 2011; 1992; 1993; 1995; Flowers, 2005; Grond perior method when visualization techniques have failed, e.g. for perior method when visualization assuch discoveries for or counter) Geiger (e.g. monitoring radiation context its not surprising that the “quantum whistle”. Given this the by dominated is studies sonification of field recent relatively the disciplines science-based in techniques sonification of application along with analysis of the psychological and technical acoustic sub tleties involved in the procedure. broken up be can sonification of functions The sonification. in used sta categories: (1) alarms, alerts, and warnings; (2) in to four broad (4) and monitoring messages; (3) data exploration; and tus, process, searchers have adopted sound as the basis for data analysis in a as the basis for data analysis in a have adopted sound searchers some of which include: number of cases for various reasons, • • • su a considered often is sonification that notes 18) p. (2000, Walker paper presents the results of a pilot project to better understand understand to better of a pilot project the results paper presents industry creative data the through extension creative of sonifica presenting music industry data astion; musicspecifically, to musi per analysis of the history of live music to improve cians in order Australia. in Melbourne, formances (‘gigs’) Sonification Sonification is typically associated with scientific data andspecifi Re results. scientific of quantities large of interpretation the in cally quarter

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Alex Gionfriddo James Verhoeven Dr Alwyn Davidson Dr Alwyn Dr Peter Gravestock Volume 09 Professor Deb Verhoeven Deb Professor Turning Gigabytes into Gigs Gigabytes Turning This gap, between the evidentiary demands of science and the of science This gap, between the evidentiary demands One study that has pushed their creative work into data explora data work into creative has pushed their One study that The fourth listed function of sonification, art and entertainment, project has placed an emphasis on the musicality of the loops by project sound that is pleasing critics to create input from crowdsourcing has placed itself some this research As a result, and interesting. (3) and in the gap between the function of data exploration where art and entertainment (4). affective aspirations of art and entertainment, is not as wide as it might first Increasingly some appear. science based disciplines are er with Britten Sinfonia have created a continuous piece of music er with Britten Sinfonia have created usedexcerpts sound of mashup creative a activity, Twitter on based thoughts, and of conversations, the overall types to communicate feelings of 500 users. Twitter There is also a strong use of sonifica such as climate tion applied to data depicting natural occurrences, and solar 2011), (Traubeck, growth 2013), tree change (Crawford, is not examples these creative of focus 2009). The wind (Alexander, sonification techniques. on creative on data exploration, but more creat 2012), Leroi, and (MacCallum Tunes” “Darwin been has tion ing musical loops that depict different stages of evolution. This tening: Concert of sonfication at the Opera House” (2004) by ear” (2006) (as cited in Walker and “Global music – The world of excellent have been a number There pp. 5-6). and Nees, 2011, adaptations of musicalcreative sonificationcomposition where is not the primary focus. “The Quotidian Record” by Brian House (2012) sonifies the location-tracking data of the artist’s movements patterns and daily rhythms highlighting the habitual for a full year, patterns found in music and rhythms of his travels. The inherent are also explored by Paul (2012), through the “Sonificationof Eve of distance to create the measure ryday Things”, using lasers and (2012) togeth Jones and Gregson audio loops for everyday objects. man et al., 2005; Grond and Berger, 2011; Smith and Walker, 2005), Smith and Walker, 2011; and Berger, Grond man et al., 2005; and model-based sonification (for examples see Hermann, 2011; et al., 2006). 1999; 2002; 2004; Bovermann Hermann and Ritter, This as the basis for musical compositions. primarily uses datasets approach often takes the sounds that result from a sonification process traditional musical instru and combines them with more Quinnof works the include datasets by driven Compositions ments. (2001, 2003), and performances such as “Listening to the mind lis quarter

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Alex Gionfriddo James Verhoeven Dr Alwyn Davidson Dr Alwyn Dr Peter Gravestock Volume 09 Professor Deb Verhoeven Deb Professor Turning Gigabytes into Gigs Gigabytes Turning TUGG was specifically developed by creative industry research industry creative by developed specifically was TUGG ers to better understand the flow of live music culture across his the studying the itineraries of bands and torical periods, through socio-spatial location of music performances (Bennett, 1997). Crea tive industry analysts can perform flexible queries on the TUGG in both google map and list form, results data, view their search for or download data in a CSV format generate printable reports statistical analysis. better understanding and analysis. The technique of songification Ultimate Gig Guide (TUGG) database work with The from arose and Gionfriddo, 2013). Verhoeven application (http://tugg.me, see indi the level of at music industry Australian the charts TUGG vidual the mid-1960s. The existing data in the performances from of Mel primarily to the city and surrounds TUGG dataset relates al by performed gigs 11,000 over of consists and currently bourne city the greater most 2,000 bands/performers in 816 venues across gig guides from sourced This data has been predominantly area. pe this during magazine music popular influential an in published riod (Kent, 2002). data exploration and the more creative side of sonification through data creative exploration and the more in audio analysis. This technique has extending musical presence the additional effect of opening up avenues for data exploration to industries themselves. members of the creative ‘G’ - Songification Give me a Songification is the extension of sonification enhanced through au place of sound to communicateditory data design; using music in we music, into ‘beeps’ auditory transforming By data. interpret and easier to listen to and will ex a data format that is intend to create the data, leading to interpreting tend the time listeners will spend required to understand the ‘artistic’ aspects of their work – the ways the – work their of aspects ‘artistic’ the understand to required in which certain design decisions affect the success of data visuali consid or how computer scientists frequently zations for example, er the ‘aesthetics’ of their code and the way physicists describe the ‘beauty’ of certain theoretical formulations. there Similarly, has been a significant computational turn in the humanities and crea is under the way research changed tive arts which has profoundly The taken technique 2011). in of these Songifica disciplines (Berry, this conjunction between also explores in this paper tion proposed quarter

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Alex Gionfriddo James Verhoeven Dr Alwyn Davidson Dr Alwyn Dr Peter Gravestock Volume 09 Professor Deb Verhoeven Deb Professor Turning Gigabytes into Gigs Gigabytes Turning Bands often played gigs around various inner cityinner various around gigs played often Bands we undertook a process of data sonification in which we The benefit of songification inthis sense is ramifying. By “think To better represent these variations of spatial scale and temporal these better represent To Several challenges have arisen from this approach to represent this approach have arisen from Several challenges senting. As MC Zirconium states, “If I am listening to radiation states, “If I am listening to radiation As MC Zirconium senting. distant parts of the universe, I want to feel horri emanating from fied by the scientific majesty of it all” (as quoted in Angliss, 2011). representing data, we are consciously not just representing are We and intensity of gigs in a city and its vi the movement, longevity, turning live music data into music. are We cinity. tosense most the make that formats in research our through” ing tuition. By transforming our research data into music we not only data tuition. By transforming our research and experience for discerning the relations an improved created ‘vernacular’inclusive, an provided also we but data, the in rhythms in this case participation, research opportunity for non-professional by engaging musicians and music fans themselves. Music about Music for Musicians Songification raises the music question based of whether creating on music industry data might also engage the live music communi ties themselves. Our intention is to turn the data into something repre and gives tribute to the phenomena we are that resembles le maps means it is neither possible to ‘see’ the sequential order of a of order sequential the ‘see’ to possible neither is it means maps le ‘stagger’temporal the in variations perceive to nor gigs; band’s be tween events. sequence Al frequencies. sound as gigs music live of sequence a represented of this pro perspective, the results analytical a purely though, from expe listening as a successful less were they promising, were cedure any advantage gained compromised extent that they to the rience – clear we needed to enhance the design of It was the approach. from aural in better medium for a provide to order in the auditory data ing the results of TUGG research queries. For example, the shifting queries. For example, research of TUGG ing the results view in to difficult is venues music between distance travel of scale maps. google the to a country locat travelling a much longer distance venues before to difficult it’s cases these In night). one the in (sometimes venue ed the city in the around see the intricacies of adjacent movements without losing a great location same map view as a gig in a rural of the goog the static nature deal of important detail. Furthermore, quarter

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kvarter akademisk ------157 . Using Max Mer

Max MerrittMax Alex Gionfriddo James Verhoeven Dr Alwyn Davidson Dr Alwyn Dr Peter Gravestock Volume 09 Professor Deb Verhoeven Deb Professor Turning Gigabytes into Gigs Gigabytes Turning Billy Thorpe and the Aztecs , and ) and their associated attributes needed for analy for needed attributes associated their and ) , The distance to each of the gig venues from the Melbourne CBDMelbourne the from venues gig distance to each of the The were were exported. The following approach to sonification used in the method is parameter mapping, defined asrepresenting “changes some data dimension with changes in an acoustic dimension” in event-based data. pp. 6-7) through and Nees, 2011, (Walker was figure This API. Maps Google a using metres in calculated was (Hz). The range of this data is from then translated into frequency – the later which is impossible to 151413 metres/Hz 584 metres/Hz movement of artists in and out of the CBD, or the spread of gigs of the CBD, or the spread movement of artists in and out the (from distance of variable The beyond. and suburb, city, the from suited towas particularly (itineraries) time over and changes CBD) a central note of pitch from music by looking at distance as variation con and change over time as the temporal sequence of music. Three pat and styles music different with artists Australian temporaneous sonification: for selected were attendance venue of terns and the Meteors example (for band specific a for search were gigs all TUGG Meteors and the ritt sis (band name, date, and venue location in latitude and longitude) rally. By recognizing from the outset that there are multi-modal ap are the outset that there from recognizing By rally. that it is possible to create to knowledge we also recognize proaches design, in which the typical opportunities for research recursive followed by analysis and then of exploration temporal relationship genuine engagement with the belies a lack of the delivery of results communities under study. Method individual exploring around centred was sonification of process The of spatially bands itineraries which changed and in the frequency was the point of interest performance over time. One particular the communities and industries we are studying we have an op an have studying we are we industries and the communities portunity to engage them on their typical terms. The division be non-academ and Analysis) (generating academics-as-agents tween canContent) (generating the objects of research communities as ic crea humanities and in the particularly researchers, be limiting for tive industries. Songification ensures that our music industryre that although academics might en explicitly acknowledges search communicating their thinking,joy written texts for developing and visually or in this case au to think other communities might prefer quarter

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Alex Gionfriddo File 1: ‘Max Mer ‘Max 1: File James Verhoeven Dr Alwyn Davidson Dr Alwyn Dr Peter Gravestock Volume 09 Professor Deb Verhoeven Deb Professor Turning Gigabytes into Gigs Gigabytes Turning File 2: Lead Riff MP3. Max Merritt and the Meteors ]. To ].songify To the it easier todata and make was more difficult as there was just one tab available. tab one just was there as difficult more was ] this guitar melody is ‘easy listening’ compared to the inhar The process to create the backing tracks involved firstly identify The length or duration of each note was set to the number of daysThe length or duration of each note To translate these frequencies to notes that can be recognised, the to notes that can be recognised, frequencies translate these To – the average beat rate could then be calculated. The method for varied depending on the band. For structure the chord producing for the example, the backing chords was obtained by going on to a popular guitar tabbing website and for the band. The four that had been tabbed obtaining all the chords then used for the track and played in the were most common chords for of what was most musically pleasing. The backing track order Doug Parkinson notes/gigs were played in succession we produced a melody that succession we produced played in notes/gigs were as a was lead represented guitar riff in keeping with the period and As you can hear under study. band attributes of the performances from File 2: Max Merritt Lead Riff, [ Listen monious ‘beeps’ produced by Tothe augmentsonification method. were a full band sound, backing tracks this melody and to create performers. written in the style of the respective ing the average beat for each artist. This was done by looking at of the artist and tracking the beat to a metronome YouTube tracks on sented the distance that the venue was from the CBD. When the the CBD. that the venue was from sented the distance notes/gigs were played in the sequence in which specific bands sonifica gigs band following the produced we venues the at played tion. The resultant inharmonious ‘beeps’ defeated however, the [ shared. easily be could data sonified the that idea Listen MP3. Sonification ritt of the band provenance patterns and honour the musical interpret was needed. that generated the data further enhancement the next gig played by the band. There gig and between the current the longer the note. When all the bigger the delay between gigs, fore, to register. As a result, we need to take this range of data and trans we need to As a result, to register. wethat one – range narrower a to (pro-rated) proportionally it late this of upper limits lower and The easily. recognise hear and can Hz). In musical chosen as C3 (130.81 Hz) to B7 (3951.07 range were middle C. middle C to B, 4 octaves above C below terms this is from scale was chosen for each frequency. note on the 12 note nearest note in the C major to the nearest This was then further transposed notes which repre array of C major was an What resulted scale. quarter

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kvarter akademisk ------Billy Doug 159 Billy Thorpe

], and Max Merritt Max ], Alex Gionfriddo ]. These tracks James Verhoeven Dr Alwyn Davidson Dr Alwyn Dr Peter Gravestock Volume 09 Professor Deb Verhoeven Deb Professor Turning Gigabytes into Gigs Gigabytes Turning was based on a basic 12 bar blues riff as per the per as riff blues bar 12 basic a on based was File 3: Max Merritt Songification MP3. Listen MP3. Songification Merritt Max 3: File File 4: Billy Thorpe Songification MP3. Listen [ [ File 5 Doug Parkinson Songification MP3. Listen MP3. Songification Parkinson Doug 5 File [ We limited our songificationWe to the use of pitch (the perceptual To date, there have been three pieces of music written and per pieces of music have been three date, there To applied to a number of key aspects of this project. For example, in For example, applied to a number of key aspects of this project. distances be rep to test sound parameters should greater order Are polarity)? mapping “positive” (a higher pitches by resented patterns in the data? represent sensible ways to more other, there Is the scaling of pitch in keeping with the changes conveyed? Ex the understanding we intend to explore tending our work further, evoked of sound metaphors (the expectations and feelings that are musical renditions of band itineraries encourage the listener to itineraries encourage the listener to of band musical renditions multiple spend time with the data by playing tracks through the times. This is advantageous over pitched ‘beeps’ simply through listen to music over inharmoni the willingness of the analyst to of the data attentive interpretations in more resulting sounds, ous and wider opportunities for engaging non-academic music spe cialists in the research. and note length to display patterns in dimension of frequency) itineraries. Subsequent investigations could use other sound di also be could mensions (e.g. loudness, tempo). Further research Parkinson an audience by the re before have also been performed on stage in serendipity of significance the emphasise to order in team search live music events and their songification. Findings The of process songification led to innovative methods for study labour. and creative industries ing and understanding the creative The shift from sonification to the more musical songification and for a better product shift has created in this involved the creativity and understanding. The ensuing data exploration, interpretation, Therefore, YouTube was used to determine the playing style of theused to determine the playing style was YouTube Therefore, for The backing track structures. chord band and the common Thorpe and the Aztecs his playlist. average song on during bands the for songification of process this using live formed to 1972): Melbourne (1965 in music live the height of and the Meteors and the Aztecs quarter

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[Accessed Alex Gionfriddo Popular Music [online] Avail James Verhoeven Dr Alwyn Davidson Dr Alwyn Dr Peter Gravestock Volume 09 Professor Deb Verhoeven Deb Professor Turning Gigabytes into Gigs Gigabytes Turning , 12, pp. 1-22. https://www.youtube.com/ Culture Machine Culture Solar Wind Sonification – Scientifically Accu Euler’s Euler’s Number and the price of fish. [online] Available at: Available [online] http://madartlab.com/2011/03/15/eulernumberfish/ rate Music! watch?feature=player_embedded&v=2b9ykhYzw6k 2014]. 26 March [Accessed 26 March 2014]. [Accessed 26 March for the consumption of popular music. resource 16, 1, pp. 97-108. Digital Humanities. scanning sonification model, inT., Stockman, (ed.), on Auditory Display (ICAD 2006) of the International Conference able at: As creative industry researchers we need to use all the resources need to use all the resources we industry researchers As creative Bennett, A., 1997. “Going down the pub!”: The pub rock scene as a A., 1997. “Going down the pub!”: The pub rock Bennett, hension? The process of songification suggests at the very least, that least, very the at suggests songification of process The hension? it ain’t all over ‘til the big data sings. References Alexander, R., 2009. Angliss, S., 2011. senses, and necessarily excluding those with sight impairment.senses, and necessarily excluding As music industry perceptual. at our disposal; technical, social and of properties what ask, specifically more even might we researchers listening? How might the audi space can be experienced through enhance geographic analysis? of spatial data tory representation What might the practice of live music offer in terms of a cognitive contemplation and enjoy artistic enterprise rather than merely of auditory how might the representation And conversely, ment? In what ways can the artistic extension? data be enhanced through human capability and compre use of auditory technologies extend by particularly a particular use of sound) as they apply in and dif contemporary music scenes. fer between specific Conclusion the With advent of ‘big data’, the impetus for to researchers focus in data, in patterns of determination the on efforts investigative their order to make ‘sense’ of large, multidimensional information, has vis on relies however, exploration data most date, To ramified. only advantages of our auditoryual tools; failing to exploit the evident Berry, D. M., 2011. The Computational Turn: Thinking About The Thinking Turn: The Computational D. M., 2011. Berry, Bovermann, T., Hermann, T., and Ritter, H., 2006. data Tangible quarter

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kvarter akademisk ------In Hu 161 , 24, 2, . Logos .

Advances in Advances in Proceedings of Proceedings Alex Gionfriddo The Sonification . Avail [online] James Verhoeven Journal on Multi Dr Alwyn Davidson Dr Alwyn Dr Peter Gravestock Volume 09 , Baden-Baden, Ger Professor Deb Verhoeven Deb Professor Behavior Research Meth Behavior Research Turning Gigabytes into Gigs Gigabytes Turning [Accessed 26 March 2014]. [Accessed 26 March The Sonification Handbook Sonification The , 25, 2, pp. 242–249. The real thing?: The industry and music thing?: The rock real The , 5, 3, pp. 87–95. , Paris, France, June 24-27 2008. Proceedings of the 14th International Conference of the 14th International Conference Proceedings A Song of Our Warming Planet of Our Warming Song A Ireland, Limerick, July 6–9 2005. Ireland, , 37, 3, pp. 553–569. . Logos Publishing House, Berlin, Germany. http://vimeo.com/69122809 Behavior Research Methods, Instruments & Computers Methods, Behavior Research Publishing House, Berlin, Germany. Auditory Display. on Auditory Display sonification for data analysis, G. in (ed), Lasker, intelligent computing and multimedia systems ternational Conference on Auditory Display (ICAD06). ternational Conference images, 1958-1987 of Australian the creation Hermann, Hunt, T., A., and Neuhoff, J. (eds), Handbook tory graphs with a vowel based sonification. modal User Interfaces (eds), J., Neuhoff, and A., Hunt, to assess characteristics of numeric data: Are we too visuocen we too Are data: to assess characteristics of numeric tric? pp. 258–264. graphics for exploratory data analysis. ods, Instruments & Computers time series data. of equivalence in perception Cross-modal man Factors London, UK, 2006. International Community Auditory for Dis Queen Mary, of Computer Science, play (ICAD), Department pp. 77-82. University of London, able at: in pitfalls, and potential new directions, Promises, Audi on Conference International the of Meeting 05-Eleventh ICAD tory Display, Hermann, T. and Ritter, H., 1999. Listen to and your Ritter, data: Model-basedHermann, T. Groenewegen, D., 1997. D., Groenewegen, Grond, and F. J., Berger, 2011. Parameter Mapping Sonification, in 2012. Singing function, exploring audi and Hermann, T., F. Grond, Global music - The world by 2006. ear. [Concert]. London, UK: Hermann, T., 2008. Taxonomy and Definitions For Sonification and 2008. Taxonomy Hermann, T., Hermann, T., 2011. Model-Based Sonification, in Hermann, T., Flowers, J., and Hauer, T., 1992. The ear’sThe 1992. potentialeye’s the versus T., Hauer, and J., Flowers, to visual 1993. “Sound” alternatives T., Flowers, J., and Hauer, graphs: 1995. Musical versus visual T., Flowers, J., and Hauer, Crawford, D., 2013. Crawford, Flowers, J., 2005. Thirteen on years auditoryof graphing:reflection quarter

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kvarter akademisk , ------. 162 Go-Set Interna The Soni

. [online] http://bri

Alex Gionfriddo The Sonification [Accessed 26 James Verhoeven Dr Alwyn Davidson Dr Alwyn Dr Peter Gravestock Volume 09 Professor Deb Verhoeven Deb Professor [Accessed 26 March , Washington, DC, USA, , Washington, Turning Gigabytes into Gigs Gigabytes Turning Santa Fe, NM: ICAD (ICAD04). The Listening Machine . [online] Available . at: [online] Available , pp. 20-24. Proceedings of the Information Visualisation, Visualisation, of the Information Proceedings Unpublished Masters Thesis, University of http://thelisteningmachine.org/ Quotidian Record IEEE Multimedia The Place of Go-Set in Rock and Pop Music Culture in The Place of Go-Set in Rock and Pop Music Culture . Logos Publishing House, Berlin, Germany. . Logos Publishing House, Berlin, Proceedings of the International Conference on Auditory Dis on Auditory of the International Conference Proceedings , Kyoto, Japan, 2002. International Community for Auditory International Community for , Kyoto, Japan, 2002. fication Report: Status of the Field and Research Agenda. Report pre Interna the of members Foundation by Science National the for pared tional Community for Auditory Display. ney Opera House. 2004. Australia: [Concert]. Sydney, on Auditory Display tional Conference 30 August 1969 at: Available 2014]. March Australia, 1966-1974. Canberra. Neuhoff, J., R., Bargar, Barrass, S., G., J., Berger, Fitch, Evreinov, Gröhn, W., M., Handel, S., H., Kaper, Levkowitz, H., Lodha, S., S., 1999. Shinn-Cunningham, B., Simoni, M., and Tipei, 2004. IEEE CNF, IEEE Computer Society, pp. 871-878. IEEE Computer Society, 2004. IEEE CNF, Sonification. Handbook anhouse.net/works/quotidian_record/ 2014]. many, pp. 189–194, Int. Inst. for Advanced Studies in System re Advanced for pp. 189–194, Int. Inst. many, cybernetics. and search high-dimensional datasets, in Nakatsu, R. and Kawahara, H. (eds.), play and Börner, K. (eds.), and Börner, on (IV’04) Eighth International Conference Display (ICAD), ICAD, pp. 76-81. ing adaptive interfaces for interacting with data, in Banissi, E. Listening to the mind listening: Concert of sonifications at the Syd Kent, D., 2002. N.; J., Miner, Flowers, Cook, P., T., B., Bonebright, Walker, G., Kramer, James, G., 1969. Will the real Billy Thorpe please stand up. the real James, G., 1969. Will Jones, D. and Gregson, P., 2012. P., Jones, D. and Gregson, Hermann, T. and Hunt, A., 2005. An Introduction to Interactive to Interactive An Introduction A., 2005. and Hunt, Hermann, T. Hermann, Hunt, A., T., and Neuhoff, J. (eds), 2011. House, B., 2012. Hermann, T. Hermann, and T. H., Ritter, 2002. Crystallization sonification of H., and 2004. Hermann, Ritter, Neural T. gas sonification – grow quarter

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kvarter akademisk . - - - 163 , Kyoto, Kyoto, , Proceedings Proceedings

Proceedings of Proceedings Alex Gionfriddo , Boston, MA. [Accessed 26 James Verhoeven http://traubeck. Dr Alwyn Davidson Dr Alwyn Dr Peter Gravestock Volume 09 [Accessed 26 March . [online] Available at: Available [online] . Professor Deb Verhoeven Deb Professor TUGG: The Ultimate Gig TUGG: The Ultimate Gig [Accessed 26 March Turning Gigabytes into Gigs Gigabytes Turning Principles of Sonification: An http://tugg.me/ , Limerick, 2005. Ireland, Depart , Boston, MA, USA, 6-9 July 2003. Proceedings of the 2003 International Proceedings , 19, 8, pp. 1065–1087. http://tugg.me/ [Accessed 26 March 2014]. [Accessed 26 March http://dennisppaul.de/an-instrument- , Espoo, Finland. . [online] Available at: , Unpublished PhD thesis, Rice University. Years Proceedings of the 11th International Conference on International Conference of the 11th Proceedings Proceedings of the 7th International Conference on Au on Conference International of the 7th Proceedings Magnitude Estimation of Conceptual Data Dimensions Proceedings of the International Conference on Auditory Conference of the International Proceedings Available at: Available An Instrument for the Sonification of Everyday Things . [online] Available at: Darwin Tunes: Survival of the Funkiest Survival Darwin Tunes: for Use in Sonification com/years/ 2014]. Guide 2014]. March Hunt, T., A., and Neuhoff, J., (eds), to Auditory Display and Sonification. Introduction Auditory Graphs. For Toolkit on Auditory Display Conference the 9th International Conference on Auditory Display the 9th International Conference training on performance of a point estimation sonification task. Applied Cognitive Psychology agenda, a research experience and towards summary of current (ed), E. Brazil, in (ICAD 2005) Auditory Display ment of Computer Science and Information Systems, University of Limerick, pp. 420-422. [online] Available at: for-the-sonification-of-everday-things/ 2014]. other sonifications of ice core, DNA, radar, seismic, and solar wind data, in ditory Display (ICAD01) 2012. the Map? In Display. http://darwintunes.org/ fication, and Musical Expertise:Way Which Is Up? Display Auditory on Conference 2002 International the of Japan July 2-5, 2002. Interaction of Perceptual Dimensions: Can the Data Get Lost in Walker, B., 2000. Walker, Verhoeven, D. and Gionfriddo, A. 2013. A. D. and Gionfriddo, Verhoeven, B. Theory and of Nees, Sonification,M., in2011. Hermann, Walker, A Graphical B. and Cothran, J., 2003. Sonification Sandbox: Walker, Smith, D., and Walker, B., 2005. Effects of auditory context cues and cues context auditory of Effects 2005. B., Walker, and D., Smith, A graphs: Auditory 2005. G., Hind, and L., Nickerson, T., Stockman, 2011. B., Traubeck, Quinn, M., 2001. Research set to music: The climate symphony andsymphony climate The music: to set Research 2001. M., Quinn, Paul, D., 2012. in tribute, 9/11 A died: who those 2003. For M., Quinn, MacCallum, B., Leroi, A., Mauch, M., S., Welburn, S.,and Bussey, Neuhoff,Wayand, J., J., and Knight,R., 2002. Pitch Change, Soni Neuhoff,Wayand, J., G., J., Kramer, and 2000. Sonification and the quarter

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