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==Mapping through sound/silence==
==Mapping through sound/silence==
To me, sound is a very integral part of what makes a city a city.
notice how loud a common place is.
In a space or place that is public, communal, shared is so often loud. filled with people talking, announcements, music, sounds.


what is the importance of silence? and is absolute silence something i would like to look for? would silence make you uncomfortable? what does silence sound like?
{{:User:Anita!/Special Issue 24 notes/sound map| Sound Map}}
 
 
i ask myself the importance of white / background noise. i travel on public transport and record and try to separate and pay attention to all the overwhelming auditory signals i receive. i hear the movement of the tram as a machine, starting and stopping or better being ok stand by. i hear the announcements the mechanical and cold voice makes, telling passengers where we are and where we are going. i hear the music bleeding from other peoples headphones. i hear conversations between colleagues and friends. i hear the sound of checking in and out. i hear the rain puttering. i hear someone zipping up their jacket, getting ready to leave. a sneeze. sighing. breathing. getting up. walking.
 
Follow sound and rhythm. List sound and rhythm.
 
For this special issue, i feel very inspired to work with sound in relation to the city. In prototyping we made a 'sound map' of sorts, recording the sounds of places, trying to guide people in a certain way without using words, focusing on the sounds that make a place recognizable: children playing, a wind chime, the ticking at a traffic light. Would it be possible to create a map exclusively relying on sound?
 
I decided to start working by using a recorder while walking around, gathering a collection of noisy walks. Listening back on what happends, writing it down and looking at the connections between the sounds. '''I am on a hunt for silence in the city, but have not yet been able to find it.''' Maybe the night is quieter, but there is always a swish of the wind, a car or bicycle passing by me, a bird flying into the canals water. Of course, residential neighborhoods, even in the city.
 
A possible form for showing the sound research/map that I would like to explore is mapping each walk out on a canvas by sewing using different stitches as a form of graphic score for different sounds.





Revision as of 14:08, 29 May 2024

Making lists

Making lists as an observation method, spent the morning in the south. I was already familiar with this method, i like making lists and make them quite frequently. I made many lists, but the ones that stood out to me were:

  • people i made eye contact with
  • license plates with the number 4 in them by Zuidplein
  • colors in the hair of a person on the metro
  • things that I think of when I hear rain on my list

in the afternoon we gathered all the list titles in a pad, later in the evening i tried to draw a map connecting the lists:

List map pt 1.jpg
List map 2.jpg


Knitting city noise

Knitting city noise is a part of the Project that may or may not be made

I want to connect a digital knitting machine (that has a small computer inside of it) to a sound sensor. This sensor will react to the sounds around it (city noise) and switch the colour of the yarn that is being used, creating a distinct fabric for each event that is being listened to.

This could be done by placing the sensors in different locations, listening to the sounds of the city and looking at the codes and machines interpretation visually translated into a fabric. Using the fabrics to imagine what city experience they refer to, heavy traffic, the sound of a tram passing by, a metro announcement, wind between tall buildings, loitering, construction etc.

The ideal outcome for this would be showing the fabrics in an installation setting, showing the fabrics possibly in connection to the sounds they come from.

Why make it?

Making a visual output to city noise. Looking at noise, mixing two senses and trying to capture the sonority of being in a busy city, and how the machine perceives it through a visual output.

Also on a more personal objective perspective, practising using arduino and sensors, connecting my interest for garment making techniques and fabrics with technology

Workflow

Identifying and choosing city noise. Researching and learning about how digital knitting machines work, more specifically, looking at the brother electroknit kh-940 since it is the one available to me in the fashion station. Based on my findings, programming the code for the sensor to listen and then change the colour of yarn when it hears noise. Testing the results on the machine, making adjustments on the sensitivity of the sensor. Knitting several different fabrics based on different city noise and observing the differences between them.

Timetable

Two maybe three weeks? I feel like once the code works it should not take long to put together. It is not that ambitious of a project I think.

Rapid prototypes

Connecting the sound sensor (from prototyping class):

#define VCC 5.0
#define GND 0.0
#define ADC 1023.0
const int sensorPin = 34;
float voltage; 
void setup() {
 Serial.begin(115200);
}
void loop() {
 voltage = GND + VCC*analogRead(sensorPin)/ADC;
 Serial.println(voltage);
}

Recording quickly made on my phone on Blaak:


Sound of an ambulance passing by


Intersection noise


Tram coming, stopping and leaving


A visual (hand drawn) interpretation:

Ambulance visual interpretation (from me)
Intersection visual interpretation (from me)
Tram visual interpretation (from me)


Previous practice

My practice often references and includes elements from fashion and fabric manufacturing techniques.

Relation to a wider context

Does machine find the city overwhelming? or does it find it soothing? how can this be interpreted by simply looking at fabric?


Further prototyping

After looking into it a bit more, the 'computer' in the knitting machine is not really a computer, so I started working with the punch card machine instead, trying to write a script that will let me know, based on the nominal data received from the sensor (yes noise, no noise) which squares will be knitted in a particular colour by the machine.


Trial python script not connected to the sensor:

import matplotlib.pyplot as plt
import numpy as np
rows, cols = 60, 24
data = np.random.choice(['yes', 'no'], size=(rows, cols))
binary_data = np.where(data == 'yes', 1, 0)
plt.figure(figsize=(10, 5))
plt.imshow(binary_data, cmap='gray', interpolation='none')
plt.show()
Result of running that script

Python script to transform the inputs received from the sensor into a black and white grid:

import serial
import matplotlib.pyplot as plt
import numpy as np
import time
ser = serial.Serial('/dev/cu.usbserial-1130', 115200, timeout=1)
data = []
rows, cols = 60, 24
def read_from_arduino():
   while len(data) < rows * cols:
       line = ser.readline().decode('utf-8').strip()
       if line:
           data.append(line)
           print(f"Received: {line}")
   ser.close()
   return data
data = read_from_arduino()
matrix = np.array(data).reshape(rows, cols)
binary_matrix = np.where(matrix == 'yes', 1, 0)
plt.figure(figsize=(10, 5))
plt.imshow(binary_matrix, cmap='gray', interpolation='none')
plt.show()

This is all based on a punch card i got at the fabric station.

Punch card for the knitting machine, it is unused and has a printed grid (24x60 squares))
Punch card
Punched card
Punched card

This is the arduino code for the listening sensor:

#define VCC 5.0
#define GND 0.0
#define ADC 1023.0
const int sensorPin = 33;
float voltage; 
void setup() {
 Serial.begin(115200);
}
void loop() {
voltage = GND + VCC*analogRead(sensorPin)/ADC;
if (voltage > 160){
 Serial.println("yes");
}
 else {
   Serial.println ("no");
 }
delay(100);
}

Also took a look at OpenSCAD, a software to 3D model with code, using a code from here to model a punch card and its pattern. I think maybe though it is easier to use the python script directly because I don't understand the code that much.


LORA network

(abandoned for now, might come back to it but right now i am more interested in exploring sound in relation to the city)

Creating a LORA network to share non linear narratives. Imagine having nodes in high points of the city, to share narrative information. Each node contains a secret, or a piece of information part of bigger story. I want to make a city wide treasure hunt, inviting the user to explore the city. A message would only be retrieved when the person is in proximity of one of the nodes, hiding information inside of the infrastructure that could overall be used for different purposes as well. It could be interesting to somehow implement sensors as well inside of this.


I am extremely new to this so honestly, I have no idea if this is even possible to do.

I want to experiment with this as a different method of storytelling with this, maybe sharing remarks about places in the city, maybe making up fictional stories about them. Navigation as a method for story listening.

Mapping through sound/silence

Context

To me, sound is a very integral part of what makes a city a city. notice how loud a common place is. In a space or place that is public, communal, shared is so often loud. filled with people talking, announcements, music, sounds.

what is the importance of silence? and is absolute silence something i would like to look for? would silence make you uncomfortable? what does silence sound like?


i ask myself the importance of white / background noise. i travel on public transport and record and try to separate and pay attention to all the overwhelming auditory signals i receive. i hear the movement of the tram as a machine, starting and stopping or better being ok stand by. i hear the announcements the mechanical and cold voice makes, telling passengers where we are and where we are going. i hear the music bleeding from other peoples headphones. i hear conversations between colleagues and friends. i hear the sound of checking in and out. i hear the rain puttering. i hear someone zipping up their jacket, getting ready to leave. a sneeze. sighing. breathing. getting up. walking.

Follow sound and rhythm. List sound and rhythm.

For this special issue, i feel very inspired to work with sound in relation to the city. In prototyping we made a 'sound map' of sorts, recording the sounds of places, trying to guide people in a certain way without using words, focusing on the sounds that make a place recognizable: children playing, a wind chime, the ticking at a traffic light. Would it be possible to create a map exclusively relying on sound?

I decided to start working by using a recorder while walking around, gathering a collection of noisy walks. Listening back on what happends, writing it down and looking at the connections between the sounds. I am on a hunt for silence in the city, but have not yet been able to find it. Maybe the night is quieter, but there is always a swish of the wind, a car or bicycle passing by me, a bird flying into the canals water. Of course, residential neighborhoods, even in the city.

The outcome of these walks will be an abstract map sewn on canvas, with each stitch type representing a different sound. A sewn soundscape.

Why make it?

Making a visual sewn output to a sound map, marking the sound of routes and paths in the city of Rotterdam. Exploring graphic notation, exploring sound and relating them to practices I am already familiar with (sewing).

Workflow

Recording bikes, walks, travels around the city of Rotterdam. Translating those sounds by possibly using a script, maybe instead use Fast Fourier transform algorithm that Joseph told me about, but I'm not sure yet. With that data, assign a stitch to a sound and start mapping, first on paper (as it is less time consuming) and then on fabric.

Previous practice

My practice often references and includes elements from fashion and fabric manufacturing techniques. Very much related to my other Project That May.

Relation to a wider context

Mapping following a different sense than what we normally use as navigation (sound over sight). Interpretation of graphic scores, instead of using them to play music, using them for as a form of orientation.

Collecting data

I have started to record walks and bikes around the city in order to collect a good amount of data to create this map. I am struggling a bit to find a way to translate this sound data into a visual score that i can then sew on the tapestry. I attempted turning it into a soundgraph, but it is not really what I am looking for, so I think I will just do this 'manually' with my ears.

Another thought is to maybe, instead of using the scores, to use words instead, printing them on thick paper and then sewing them into a map, kind of what I was working on for my reader.

conversation
child voice
adult voice
bike
scooter
motorcycle
car
tram
tick tick tick
traffic light
seagull
nondescript bird 
wind
honk 
breaks
my steps 
my bike
undescript noise
ambulance
police
construction
bark

I will now screen print these onto fabric, cut them out and spread them in place to be sewn.


Out of place

Archive of items, part of the citys infrastructure, out of place. In the task of creating a perfect city, some objects are left behind.

A street sign without its sign, pulled out of its 'natural' environment
The street itself, pulled out of the ground
The street itself, pulled out of the ground

Reader!!

For now, a list of the texts that are in the process of being read:

  • Uncreative Writing - Kenneth Goldsmith
  • AmbientSense: A Real-Time Ambient Sound Recognition System for Smartphone - Mirco Rossi, Sebastian Feese, Oliver Amft, Nils Braune, Sandreo Martis, Gerhard Tröster
  • Encoding/Decoding - Stuart Hall
  • The rest is noise - Alex Ross
  • The future Looms - Sadie Plant
  • Zeros and Ones - Sadie Plant


For the format: going back to last semesters idea of making an annotation, text and image collage. Word collages copying and pasting pieces of text mixed with annotations and images taken by me around the city directly relating to the topics being researched. So overall a mixture of original and uncreative writing.

Experiment with sewing annotations and parts of text
Testing using my sewing machine on thick paper
Sewing words 1
Sewing words 2