# data[].attributes.body
Keynote: street noises, wind, voices
Sound Signal: ticking of a pedestrian light

# data[].attributes.body
- voice: rhythmic counting
- clicking: distorted sound, similarity to clock ticking
sound quality: recording with low quality, slight distortion of the voice
sound pollution: ticking sounds out of place, develops from more rhythmic ticking to a more sustained and reverbed sound

# data[].attributes.body
- Vocals
- instruments
- noises/voices by listeners, cheering
Sound event: music/ song --> reverberation, microphone sound
Lo-Fi: layering/masking of the different elements
Acoustic space: band opposite to listeners, recording was made from within the audience

# data[].attributes.body
- Keynote
(sound that is frequently heard by a certain part of society (here in bigger cities with u-Bahnen) and thus form a "background"; often not consciously perceived)
- 2nd layer HUM
(as it is a tone that is a result of mechanical vibration)
- Background noise
(as it is not an intended, consciously produced sound)
- Sound changes (ca. sec 20) but no different spacial layers (stays one space)?
-> might be recorded inside of the train
- Coupling ("interaction between two sound phenomena that seem to be distinct yet connected")
- The sound file is rather dull overall, not colorful (no envelopment, flat sonic space)
- No incursion or digression since the sound is quite predictable
- Drone vs. Hum?

# data[].attributes.body
backgorund: keynote sound of the street far away, voices in the distance
foreground: sound event of glass shattering in the context of a glas container, contrasts the background very close, loud
a voice saying "hallo" -> Two separate sound events
all sounds are human made

# data[].attributes.body
Keynote, Background sound (normal sound)/white sound

Sound event (Rhythmic sound sequence in spatial context (meaning of the sound depends on social and environmental context))

sound signal (conscious sound, realtion to keynote)

# data[].attributes.body
White Noise character sound: loud constant sound in the front (maybe frying) masking
(sound marks): vocals
music: pop ballad in the background

# data[].attributes.body
5

# data[].attributes.body
this is our whiteboard if you need it...

# data[].attributes.body
rain-pattering and ascending sounds of thunder
- ambient sound
- sound dimensions:
the rainfall stays constant at the same level, whereas the thunder noises can be heard from far away and increasingly become louder and louder

# data[].attributes.body
Sound components:
- a door closing
- background noise/ echo
Sound object:
door closing, very loud and prominent
Keynote: in the background along with the door closing, it can be reminded of a stairway, where there is echo.

# data[].attributes.body
9