Pleasing to see my ‘postcard’ analyses of Arvo Pärt’s Beatitudes and Spiegel Im Spiegel published in Andrew Shenton’s fine new work Arvo Pärt’s Resonant Texts (Cambridge University Press).
Here they are without explanation.
Pleasing to see my ‘postcard’ analyses of Arvo Pärt’s Beatitudes and Spiegel Im Spiegel published in Andrew Shenton’s fine new work Arvo Pärt’s Resonant Texts (Cambridge University Press).
Here they are without explanation.
I’ll be keynote speaker-erm-ing at the Royal Asociety of Medicine on Tuesday 4th September at the Royal Society of Medicine, London.
More details here and at the link above:
Join us as we explore the links between sleep, sleep disorders and all forms of art, literature, and music including modern digital media.
We will look at the effect of music in the sleeping brain, the portrayal of sleep and sleep disorders within works of art, the perils and pleasures of sleep apps and their effect on the public perception of sleep and the literature of dreams.
You will learn to:
Sound Asleep was filmed by Jake Davison, Kate Wallace, Josephine Hannon and Megan Brown. They interviewed Professor Morten Kringelbach, a neuroscientist at the University of Oxford, and Professor Milton Mermikides, a composer guitarist and music theorist.
Jake explains: “The film is about the discovery of newly described changes in brain activity during sleep by Professor Kringelbach and his team, and how conversion of these findings to music could provide a useful diagnostic tool and possibly a therapeutic for sleep disorder treatment. We decided to cover this story because, in the age of smartphones, tablets and a 24/7 world, the quality of our sleep is decreasing and its importance is often overlooked. This new model of sleep brain activity developed by Professor Kringelbach and his team, as well as his collaboration with Professor Milton Mermikides to produce musical compositions from this data, will help us understand the mechanism of sleep better and therefore allow us to improve our own sleep. Both the ground-breaking nature of this research and the unorthodox method of utilising music to potentially unlock more discoveries seemed intriguing to us and something that needed to be heard about
A collaboration with Professor Morten Kringelbach, producing music based on his team’s research into the transitional networks involved during sleep is featured on BBC Radio 4’s weekly science podcase Inside Science and broadcast 28/3/19 at 16:30 and 21:00. Catch up here to listen And here for the wonderful research paper “Discovery of key whole-brain transitions and dynamics during human wakefulness and non-REM sleep” (Nature Comms)
A lovely discussion with BBC Studio Manager (and Radiophonic scholar) Jo Langton and presenter Tom Service on Radio 3’s Hidden Voices series on Music Matters. Kathleen Schlesinger’s The Greek Aulos, Ancient Greek Modes, microtonality, the work of Elsie Hamilton and its legacy today.
An incredible experience providing the keynote presentation at the Hong Kong Academy of the Performing Arts as part of the 3rd Altamira Guitar Symposium and International Guitar Research Conference. The paper Nuages: Rhythmic Diffusion in the music of Roland Dyens explores the extraordinary rhythmic sensibilities of the recently departed guitarist/composer, and was an honour to be given the opportunity for such a tribute, in such an amazing venue among such company.
Very satisfying to receive this series of books from OUP at long last. Very pretty looking academic books, if you can believe that. My chapter with Eugene looks quite cool including all those brain bending Coltrane Cubes, M-Space and improvisational fields.
On Friday 23rd March, I’ll be giving an Ableton-hosted workshop at the CCA, Glasgow on Breaking 4/4 – rhythmic shenanigans galore.
Booking here and details below.
Renowned TedX Groningen and Ableton Loop keynote speaker, Dr Milton Mermikides and Ableton Certified Trainer Phelan Kane take a look at some less than conventional ways to generate rhythms and sound. Using Live and custom Max for Live devices, this workshop introduces a range of tools and methods to break out of standard repetitive cycles of electronic music composition. Through a series of exercises using custom-built Max for Live devices, they’ll explore Euclidean sequencers, odd meter, micro timing, hypermeter, swing and latency, with the aim of unleashing your creativity and exploring uncharted territory beyond the standard 4/4 landscape.
Does practice really make perfect or do musicians need a special innate ability to succeed? Neuroscientist Vin Walsh joins psychologist Lauren Stewart, music teacher and researcher Adam Ockelford, and composer and guitarist Milton Mermikides to discuss musicality, whether you can teach musicianship, and why some of us are more drawn to making music than others.
Tue 6 Jun 2017 8:30pm – 9:30pm
Cheltenham Science Festival
Parabola Arts Centre, Cheltenham Ladies’ College £8 plus transaction fee
Looking forward to being part of this panel discussion (click for tickets and info)
The first event in a series, the AES London Committee present a discussion exploring the relationship between creativity and technology. Chaired by Phelan Kane (Chair of the AES London Regional Committee), the aim is to create a dynamic forum that features free flowing discussion and debate with contribution from panel and audience members alike.
The purpose of this evening is to explore the relationship between technology and creativity within the landscape of modern audio practice. What form does this relationship take? How do modern audio practitioners use technology creatively within their everyday practice and what role does the technology play? How important is the creative output of practitioners within the development of new audio paradigms? How is R&D influenced by current creative workflow trends? Does the realisation of R&D lead to new creative workflows and to what extent do creative workflows influence the R&D process?
Confirmed Panel Members:
Swing friction is a term I coined in my PhD thesis and is defined as the differential of swing values between individual performers (or groups of performers). If the swing friction is significantly large and consistently maintained, it may form a characteristic of ensemble feel.
Chuck Berry’s Johnny B. Goode (Berry 1958) provides an instructive example of swing friction. Berry, often considered the father of rock n’ roll, was instrumental in ‘straightening out’ the blues 12/8 shuffle rhythm into the archetypal electric guitar riff. Johnny B. Goode features this ‘straight 8th’ guitar rhythm, as well as equally straight lead playing juxtaposed with a stubbornly bouncy drum, bass and piano feel. Heavily swung quaver values occur in the ride cymbal pattern, often near the 67% mark, a significant deviation of over 52ms from the straight quaver at 170bpm. The guitar rhythm part however remains resolutely straight rarely venturing beyond 52% swing. This already large 15% discrepancy of swing value is exaggerated with the guitar part often sitting on top of the beat (ranging between 0% and -4% latency) leading to a mean separation of about 17% (≈60ms). The lead guitar is equally straight, although not pushed, and occasionally falling behind the beat. Piano interjections are loose but quavers are generally quite swung, mainly in the 60-67% range and repeated quaver triplets prevail. The bass plays mainly crotchets, with the occasional quaver (usually ≈67%). A representative extract from the track can be heard here:
Figure 1 shows a composite two bar template for the lead, rhythm, bass and drum parts, with time-feel components added. There is a huge gap between the swing values of the guitars and bass and drums. The vocal track tends to fall in between these two extremes. In order to hear the effect of swing friction, This example contains electronic sequences of this section with varying time-feel values: 1) as from Figure 1, 2) all instruments at 67% 3) all at 52% 4) all at a middle ground of 60% and 5) back to the ‘true’ values for comparison.
Figure 1. Composite swing and latency values for guitars, bass and drums in Johnny B. Goode.
The sequences have been rendered with MIDI instruments on purpose; although the section would sound better with human performers, but the elimination of the inflection they would inevitably provide allows focus on the power – and limitations – of the SLW model. Mean values for swing and latency have been provided, but the standard deviations of these values introduce the component of looseness or tightness, again different between players. Weighting elements also occur, (the cymbal has a slight emphasis on offbeat quavers for example,) with both mean and standard deviations). This extract plays the sequence first as Figure 1 then with swing, latency, weighting standard deviations from Figure 2 introduced, which add a clearly-defined randomness to each of three time-feel elements, and instruments, individually. There is a subtle but appreciable difference between the sequences; attention to the cymbal pattern, for instance, will reveal a slight offbeat emphasis and looseness.
|Lead Guitar||Rhythm Guitar||Bass||Drums|
|µs= 51 ∂s=1.5 µl= 2 ∂l=
µw= -3 ∂w= 2
|µs= 52 ∂s=1
µl= -3 ∂l= 1
µw= -3 ∂w= 2
|µs= 67 ∂s=2
µl= 0 ∂l= 1
µw= 4 ∂w= 2
|µs= 67 ∂s=2
µl= 0 ∂l= 0
µw= 2 ∂w= 1
Figure 2 Mean and standard deviation values of swing, latency and
weighting (measured as dB level)
An averaging out of time-feel components over the entire track runs the risk of over-generalization and may incorrectly group specific mechanisms that occur only occasionally. There are for example, brief moments when the bass seems to join with the rhythm guitar’s straight quavers. There is also the assumption, with a single matrix per instrument, that all beats of the bar are the same, which ignores the emphasis on crotchets 2 and 4 in the drums. Matrices could be provided for beats 1 and 2, and beats 3 and 4 separately, or even weighting at the crotchet level, for greater sophistication when needed.
Despite these acknowledged limitations, the discretionary use of this type of analysis allows for an instructive and parsimonious description of ensemble time-feel elements.
The most succinct analysis I can make of Arvo Pärt’s Spiegel Im Spiegel (a stunning and elegant work). Listen here: https://open.spotify.com/track/3rlqTqUOzu0zDwQFJe44gk
I’ve had this insight about palindromic scales, modes, modal groups, and the Euclidean (and sometimes maximally even) distributions of 7 notes in a one octave scale. This is what it looks like in my head. I really like that the ‘central’ scale of a group is not the traditional figurehead (Ionian, melodic minor etc.) but the palindromic parent. Nice to see the patterns emerge diagrammatically, and I will aim to use Melodic Phrygian and its modes in composing/improvising!
The next in the series of Hidden Music data sonification works. Data sonification is a long term interest/project/passion of mine, which involves the systematic translation of ‘non-musical’ data into music.
Here I’ve taken Kandinsky’s beautiful 1926 painting Several Circles and translated it systematically into sound. Colour and vertical position are translated into timbre and pitch respectively, as the red cursor scans the image horizontally.
Whether Kandinsky was a synaesthete or not is disputed, but his fusion of music and visual art metaphor, working process and concept is well documented. From the link:
“Our response to his work should mirror our appreciation of music and should come from within, not from its likenesses to the visible world: “Colour is the keyboard. The eye is the hammer. The soul is the piano with its many strings.”
Kandinsky achieved pure abstraction by replacing the castles and hilltop towers of his early landscapes with stabs of paint or, as he saw them, musical notes and chords that would visually “sing” together. In this way, his swirling compositions were painted with polyphonic swathes of warm, high-pitched yellow that he might balance with a patch of cold, sonorous blue or a silent, black void.”
Thanks as ever to Anna Tanczos for the visuals.
Here’s the first in a long series of data sonification experiments. This Hidden Music series is a long term interest/project/passion of mine, which involves the systematic translation of ‘non-musical’ data into music. Here’s a simple example, the orbital periods of the planets of the solar system translated into pitch and rhythm. The rhythms are simply created by speeding up the actual orbital periods by 25 octaves (doubling the speed 25 times), and the pitches are created by transposing them up 37 octaves. I haven’t quantized pitch or rhythm, so its both microtonal to the nearest cent (100th of a semitone) and microtemporal (to the nearest millisecond), but I hear a clockwork beauty in this irrational/chaotic collection of ratios nonetheless. Stay tuned for some even more distant harmony from some ex-planets. I recommend a sub-bass speaker to really feel Uranus and Neptune’s drones. Thanks to Rob Scott for his space science brain, and my long term partner-in-nerd Anna Tanczos for the visuals.
The next international conference of the International Guitar Research Centre has been announced. It will take place 18th to 23rd March 2016. The call for papers, keynote speakers and headline concert artists can be found here. The deadline for proposals is midnight GMT on Friday 9th October 2015.
The IGRC has no stylistic or conceptual prejudice, if you are doing work that is innovative, creative and related to the guitar, we are interested. For further info
It’s hard (for me at least) to start talking about any aspect of musical theory without talking for an hour or writing several thousand words and/or producing many diagrams. So I’m going to try and just provide some vignette posts, little moments of insight in a hugely complex field of study.
Here let’s look at the harmonic series (the pitches that emerge by multiplying a frequency by the set of integers (1,2,3,4 …) and its relationship to 12-tone equal temperament (the ‘standard’ division of the octave into 12 equal divisions).
The following diagram courtesy of the incredible programmer Dean McNamee (and Mathematica) shows how the pitches generated through the harmonic series differ from 12-tone equal temperament.
The X-axis names the harmonic number (ending at the 20th harmonic) and the Y-axis is the deviation from the nearest even-tempered note (where for example -0.2 is 20% of a semitone flatter than equal temperament). If you look carefully, you’ll see that the fundamental and all the octave equivalents (harmonic numbers 1,2,4,8, 16 etc.) align perfectly with the even-tempered equivalents. In fact these powers of 2 are the only point where the harmonic series meets up (exactly) with 12-TET. These points are circled in red below.
The ‘non-octave’ harmonics are indicated with different coloured arrows (showing in which way they differ from equal temperament). The 3rd harmonic (indicated in orange) is about 2 cents (a mere 2% of a semitone) sharper than the equal tempered equivalent (a perfect 5th), and so of course are its octave equivalents the 6th, 12th, 24th etc. The 9th harmonic is about 4 cents sharper (as it is ‘affected’ by two 3rd harmonics), and is indicated with 2 orange arrows. This ‘stacking’ (and unstacking) of the 3rd harmonic is what is used to create the Pythagorean scale, also known as a 3-limit scale, since we only allow the 3rd (and 2nd) harmonic as tools to reach musical notes.
The 5th harmonic is significantly flatter than the 12-TET equivalent (and the cause of the many historical temperaments that have emerged in polyphonic music. The 10th harmonic has the same ≈14 cents discrepancy. The 15th ends up about being 12 cents flatter, since 15 = 3*5, it uses the 3rd harmonic (which makes it ≈2 cents sharper than 12-TET) and the 5th harmonic (≈14 cents flatter) resulting in an overall drop of about 12 cents (note the contrary orange and yellow arrows). Incidentally, the use of the 3rd and 5th harmonic (together with the trivial 2nd harmonic), creates the 5-limit system of tuning, with its extensive and beautiful use in Hindustani music.
You’ll see that the other prime-numbered harmonics get their own coloured arrows (7th=green, 11th = blue, 13th = purple etc.). The 11th is about as far from 12-TET that is possible, which is why Harry Partch stops there in his 11-limit 43-note universe. Since the primes never end so the harmonic pathways of tuning are (theoretically) endless.
Another way to see the relationship between the harmonic series and 12-TET is to visualise the harmonics resting at points on an infinitely expanding spiral. Each sweep of the spiral represents an octave, and the 12 equally spaced slices of the octave pizza represent each 12-tone slice. This has the advantage of indicating where in the octave each harmonic lies, as well as the octave relationships between sets of harmonics (e.g. between the 3rd ,6th, 12th and 24th harmonics etc.). Here’s a beautiful rendering by Skye Lofander (whose website musicpatterns.dk has many awesome visualitions of musical concepts and is highly recommended).
You’ll notice that the harmonics get closer and closer together, and essentially ‘sweep’ through the 12-TET discrepancy in an ever (but never completely) flattening upward slope. Here’s Dean’s rendering which shows the same phenomenon emerging with the first 500 harmonics:
So along the way the 12-TET and harmonic series will get ‘close enough’ most certainly for human perception (which is a couple of cents on a good day) and acoustic instruments (which waver considerably in temperature and human execution). Even a slight head-turn will invoke enough doppler shift to make fractions of a cent meaningless in real terms.
So which is ‘better’ 12-TET or tuning derived from the harmonic series (also known as just (i.e. ‘true’) intonation)? And what incantation of the harmonic series is more ‘pure’? Is 4 jumps up the 3rd harmonic more ‘natural’ than one jump up the 5th harmonic? They both roughly approximate the major 3rd (the first a ‘Pythagorean third’ ≈8 cents sharper than 12-TET, the second a ‘just 3rd’ at ≈14 cents flatter). Some have attempted a measure of harmonicity (see Vals and Monzos), but its relationship to subjective experience is sketchy at best. Can one think of 12-TET as existing way, way up the harmonic series (so still harmonic), is it a ‘good enough fit’, or wholly incompatible with the harmonic series? What’s inate and wha’t encultered? Why 12 equal divisions and why not some other number?
Just intonation enthusiasts can get heated about its superiority to 12-TET, but there is no doubt that the limiting of notes to 12, close-to, or exactly evenly-spaced has led to the creation of countless, otherwise impossible, musical creations and activities.
The best answer is that they are different, and both available to every composer, get over it, embrace and enjoy.
P.S. this was 3 times longer than planned. Apologies.
It’s possible to gain an incredible fluency at music reading, absorbing large sections of music at a glance. I remember as a youngster being in awe at those who could instantly transform squiggles into beguiling sounds, as if there was no barrier between the symbols, the musical brain and the appropriate finger movements. Even without an instrument to hand, they could somehow hear the page. However, music reading seems to differ from word reading in that it can be quite easily tripped up. With word reading you can read wrds wtht vwls frly cnfdntly, or when they are uʍop ǝpᴉsdn, or even ndsᴉpǝ poʍu ɐup qɐɔʞʍɐɹps. However the odd enharmonic or dotted rather than tied note in music notation, can momentarily derail even an experienced reader.
What I’ve found puzzling is that there is no one unanimous convention for notation, nor a system that will please all the people all the time. So in this short article I will attempt to reveal some of music notation’s hidden conventions and reader preferences.
Ok so Figure 1, shows a series of numbered extracts, from which the subject indicates a preference (or no preference).
Figure 1: The Test
You may want to make a note of your preferences at this point, before we look at the results from our cohort of readers.
We’ll break these down in sections so we can discuss the various implications.
Examples 1-3 test the concept of the imaginary barline – the idea that we should notate as if 4/4 was actually 2 consecutive 2/4 bars, separated by an invisible barline. Of course, semibreves (and dotted minims) violate this regularly, so we might consider them honorary exceptions to this rule. But this begs the question, at what point does the imaginary barline ‘kick in’?
Figure 2 presents the results of the first 3 exercises
Figure 2 Preferences for Examples 1-3, testing the limits of the imaginary barline. Notice how preference is eroded by the weaker ‘bridge posts’. (NB NP= no preference and please note also that due to rounding errors, the percentages in this – and other examples – may not add up to 100% exactly, please get over it.)
You’ll notice that in all 3 cases, a central minim is preferred over an imaginary barline. At this point I’m going to suggest some terminology, let’s call the formation with a central minim (covering beats 2 and 3) as a minim bridge. It seems that readers tolerate this well. Note that positing the minim bridge allows us to talk of – among other things – crotchet bridges on beats 1& to 2& and their implications in sight reading.
Notice that the preference for the minim bridge reduces as we subdivide the material on beats 1 and 4). 1a has a minim bridge well supported by a crotchet post on either end, clearly presenting beats 1 and 4. 1b and 1c on the other hand have weaker posts, the quavers and semiquavers respectively, slightly masking the clarity of beats 1 and 4.
We could in fact imagine minim bridges of different strengths. While the majority may prefer a minim bridge to an imaginary barline (IB), as the material at beats 1 and 4 become more complex, perhaps more people prefer the IB over the bridge presentation (see Figure 3)
Figure 3 Hard and weak minim bridges with imaginary barline equivalents, and a suggested preference curve. (Click to embiggen)
The limited data supports this, but it’s only a tentative suggestion. Furthermore, I suspect that there will be a significant proportion of readers who will always prefer (or at least tolerate) a minim bridge regardless of the content in the rest of the bar.
So far we’ve seen that there is a general preference for minim bridges over imaginary barlines, less so perhaps as the minim’s supporting posts on beats 1 and 4 become more complex. But what of the minim bridge itself? How robust is it to any complexities? The answer, it seems, is not very. Figure 5 shows that when the minim bridge is divided into a quaver-crotchet-quaver pattern (a crotchet bridge formation), preference swings dramatically to the imaginary barline presentation, and slightly more so when the beats 1 and 4 posts are made more complex. So a fractal//Inception-style bridge-within-a-bridge is too much for many readers to bear, although a good 1 in 4 readers actually preferred it over IB. I suspect that some readers, don’t need any IB at all, and are happy to see a sequence of rhythmic values with no visual indication of beat 3. Let’s call these readers who can tolerate (or prefer) a sequence of rhythmic values over IB presentations as ‘sequential readers’.
Figure 4. A minim bridge collapses for most people when it is subdivided into a crotchet bridge. Still, those 1 in 4 sequential readers prefer it to IB.
So we’ve dealt to some degree with minim bridges and their relationship to the imaginary barline, and their kryptonite (the fractal bridge), but what of bridges on beats 1 and 2, and beats 3 and 4? In other words, do the same principles scale down from the whole bar to the half bar?
Figure 5 Testing the Crotchet Bridge (or crotchet IB)
Examples 6 and 7 address this question. You’ll see in Figure 6 that the majority prefer the crotchet bridge to (beat 2 and 4) imaginary barlines (6a over 6b) although this preference is less common than at the whole bar level (1a over 1b). However the crotchet bridge (surprisingly to me) seems far more susceptible to weakening than the minim bridge. Notice that as soon as we weaken the posts on the first and last quavers, preference sways over dramatically to the crotchet IB (7b over 7a). This was just a tentative study (quiz really) but if I knew of this phenomenon I would have interrogated the extent and nature of the fragile crotchet bridge more thoroughly.
Let’s look now at the quaver bridge (semiquaver-quaver-semiquaver). Figure 6 shows that a similar ratio of readers prefer quaver bridges to minim bridges (8a over 8b, as compared to 1a over 1b). However some subjects reported (without solicitation) that 8b was ‘horrible’ or ‘horrifying’. Why this ‘over-information’ created such a negative reaction (as compared to 1b) is not clear. It could be that it is simply the case of 4 instances over 1, or the shortened time scale is less tolerant of unnecessary fuss. I suspect it’s the sequential readers kicking up the fuss, I’ll check.
Figure 6 How to piss off a sequential reader.
The quaver bridge also allows us to check if the standard IB (splitting 4/4 into 2 2/4 bars) is sufficient once semiquavers are introduced. You’ll see in Figure 8 that in fact a slight majority of readers prefer to have imaginary barlines on every beat in the presence of semiquaver syncopation. A good portion preferred standard IB but one who didn’t was upset by the crotchet IB violation. He’ll recover in time.
Figure 7 Half vs. quarter imaginary barlines with semiquaver syncopation
Let’s now test sequential vs. standard IB vs crotchet IB in a syncopated semiquaver passage (Figure 9). The majority preferred crotchet IB (essentially 4 imaginary bars of 1/4), but a significant portion were happier with either no IB or standard IB presentations (Incidentally the former upset some readers presumably because it was the opposite of patronizing). Why did more prefer 10a to 10b (given 10c’s majority) is a bit puzzling. Perhaps there is an in-for-a-penny-in-for-a-pound sentiment in operation here (“if I don’t need one tie over beats 2 and 3, I don’t need any other”).
Figure 8 No vs. standard vs. crotchet IB with semiquaver syncopations.
Aside from minim bridge and the trivial semibreve and dotted minim cases, there are relatively common violations of standard IB, in the context of additive meter. To test this, let’s compare preferences for 3+3+2 vs. 2+3+3 vs. 3+2+3 quaver groups. All of these violate standard IB but will any be preferred over it. In every case standard IB is preferred (11b, 12b and 13b), but around 20-30% went for the ‘full additive’ version. This was particularly true in the 3+3+2 formation rather than the other permutations (one of which was ‘offensive’ to some). Why would this be the case? They all violate standard IB so what else differentiates them? It may be that 3+3+2 is the most commonly seen of these meters (Butler 2006) or – and perhaps because – it has a clear beat 4 ‘post’ to anchor the reader. You’ll notice that readers clearly preferred standard IB over crotchet IB (11b, 12b and 13b over 11c, 12c and 13c).
It perhaps hits the sweet spot between rhythmic clarity and patronizing over information.
Figure 9 Additive meter vs. imaginary barlines
This was a limited, uncontrolled study glorified quiz with a small number of participants, all of whom could see each other’s responses. Still, useful (and surprising) concepts emerged. In particular, I think there is mileage in terms of the bridge concept, and a more flexible concept of the imaginary barline which adapts dynamically to subdivision and syncopation, as well as the sweet spot between fussy information and pure sequentualism. I’m also going to investigate preference patterns and consistencies (or otherwise) within (rather that between) subjects’ responses.
The preferences here may be merely suggestive of experience and convention (although how these conventions emerge is interesting of itself). It’s unlikely that our preferences are the results of evolutionary pressure – quick-read-this-syncopated-passage-to-distract-the-tiger scenarios – but it may tell us something about our music reading faculties, and whether an inexperienced notator’s (and Logic notation) can be so baffling . Whether these preferences are internally consistent or optimal may be questioned, but it’s useful to actually know what a majority of readers prefer when preparing scores. So let’s ask them (ourselves).
Many thanks to those who gave up their time and composure in completing this test. Very interested to hear your preferences, and any feedback below.
Here’s some info for my Hidden Music exhibition 7-13 May 2015 at the Lewis Elton Gallery. A series of works created through translation of natural phenomena into sound.
Here’s details of a public seminar on Wednesday 29th October 4pm, TB06, University of Surrey.
4.00pm, Wednesday 29th October, TB06 FREE admission More Info
Dr Milton Mermikides (Surrey)
Musical Continua: Perception and Technology
Digital music technology has now fulfilled Varèse’s dream of “instruments obedient to […] thought”, Russolo’s call to “conquer the infinite variety of noise-sounds” and Busoni’s desire to “draw a little nearer to infinitude”. However, the staggering developments in music technology over the last 20 years has brought with it a less predictable outcome, the ability to better understand the mechanics of music itself, and to illuminate some of the mysteries of its expressive power. Through a survey of recent research projects, this seminar examines how our understanding of musical expression in pitch, rhythm and timbre can be enhanced with technological support, furthering analytical insight, artistic appreciation and creative practice.