Research Log

Body

Voice

Scripts

random stretch, amplification, paning on voice recording

Idea: I use recording of myself breathing. I want to see how my materiality changes through stretching It is a slow process, that changes the pitch and the timbre
what does someone hear?

define :myshortbreath do
 use_bpm rrand(5,10)
 with_fx :reverb do
   live_loop :breath do
     sample "C:/Users/luzza/Desktop/samples/my breath.wav", amp: rrand(1,3), rate: rrand(-2, 2), pan: rrand(-0.8,0.8)
     sleep rrand(0.6,1)
   end
 end
end

writing the self
1.I insert different samples
2.I write what do i hear

On Queer Timbre

The Grove Dictionary of Music describes timbre as:

A term describing the tonal quality of a sound; a clarinet and an oboe sounding the same note at the same loudness are said to produce different timbres. Timbre is a more complex attribute than pitch or loudness, which can each be represented by a one-dimensional scale (high–low for pitch, loud–soft for loudness); the perception of timbre 
is a synthesis of several factors, and in computer- generated music considerable effort has been devoted to the creation and exploration of multi- dimensional timbral spaces. The frequency spectrum of a sound, and in particular the ways in which different partials grow in amplitude during the starting transient, are of great importance in determining the timbre.  
 

With less of an attempt at scientific detachment, Olwage underscores the difficulty of accounting for this parameter of sound: Cornelia Fales has written most recently of the ‘paradox of timbre’ ...;

we hear it – of all sonic phenomena timbre carries the most information about a sound source and its location – but we have no complete language to describe it ... When we get to timbre, then, it is only by getting beyond it. But mostly we never get there at all.

How to approach through sound processing, a full embodied sound quality like timbre?
I write, i describe with words what do i hear
Timbre is embodied. is internal, is information happening inside of one's body

The guitar

fretless, slow, unassembled

Jams

talking, writing, analysing, playing, listening

Regulatory Devices

Pitch Classification

Voices are classified as:

Female norm: mean F0 of 196-224 Hz
Male norm: mean F0 107-132 Hz
Gender is a spectrum,-not just binary (male vs female)and also not purely categorical

How to reeceive voice as a data and then reproduce it in ways that deconstruct the gender classification?
Open up new auditory perceptions?

Pitch definition

From britanica

pitch, in music, position of a single sound in the complete range of sound. Sounds are higher or lower in pitch according to the frequency of vibration of the sound waves producing them. A high frequency (e.g., 880 hertz [Hz; cycles per second]) is perceived as a high pitch and a low frequency (e.g., 55 Hz) as a low pitch.

https://www.britannica.com/art/pitch-music

On fundamental frequency f0

The fundamental frequency of a speech signal, often denoted by F0, refers to the approximate frequency of the (quasi-)periodic structure of voiced speech signals. 

https://wiki.aalto.fi/pages/viewpage.action?pageId=149890776

Visual

Spectogram

In essence the spectrogram tells you how much energy (PSD) there is at a given frequency at a given time. In the picture the black region on the left corresponds to the time before the spectrogram was activated. The part with purple and pink haze represents the background noise from my device (a laptop with noisy fans), fridge, wind and other noise that reached the microphone. Then, the orange / yellow lines were produced by pronouncing a vowel. I did a pitch slide, starting with a low pitch (in the middle of the picture) and raising it and then keeping the pitch fixed high. 

How to read a spectogram if you are interested on the noise, on the purples and the pinks, on how the energy floats, than being only interested in the most loud energy?

interface with live spectogram

https://musiclab.chromeexperiments.com/spectrogram/

spectogram from web audio API

https://hub.xpub.nl/soupboat/~mitsa/spectogram%20_web%20_audio/

Unfinished dreams

Timbre Visualisation

Try to talk on the microphone and see different types of visualisation through pure data. This can also work with vocal samples
-I don't think that the above suggestion is doable. It needs something as to map specific sound qualities to visuals