Atmospheres

Add ambience to your audio assets with atmospheric sound effects

As well as using sound design or uploaded files in your audio content, you can also use atmospheres to create ambience or mimic the sound of a particular environment. For example, you could transport your listeners to a bustling coffee shop or a rowdy boxing match.

How does it work?

Like with sound designs, you can specify atmospheres for each section of your script, using the following syntax, when you create your mix:

print("Creating mix...")
mix = audiostack.Production.Mix.create(
    speechItem=speech,
    soundTemplate="visible",
    masteringPreset="atmosphere_test",
    sections={
        "intro": {"atmosphere": "boxing_training"},
        "main1": {"atmosphere": "boxing_round_start"},
        "main3": {"atmosphere": "boxing_fighting"},
        "outro": {"atmosphere": "boxing_round_start"}
    }
)

What atmospheres are available?

There are a limited range of atmospheres available right now, but we welcome feedback on atmospheric sounds that would be useful in your work.

You can get a list of the available atmospheres by pasting this code into your terminal (including your API key):

curl --request GET \
     --url https://v2.api.audio/production/sound/atmosphere \
     --header 'accept: application/json' \
     --header 'x-api-key: YOURAPIKEY'     

This will generate the following list:

Alias (to use in your code)
carnival_rave
aeroplane_take_off
boxing_round_start
boxing_training
football_ovation
cricket_playthrough
train_indoor_ambient
city_ambience
tennis_score_announcement
cafe_busy_ambience
train_pass_by_left_to_right
train_indoor_departure
train_station_ambient
cafe_medium
traffic_city
train_station_indoors
tennis_match
football_missed_goal
train_passing_by_mono
bus_stop
sea_waves
football_crowd
train_approaching
jungle_dawn
art_gallery
train_underground
train_departure
football_goal
storm_closer
traffic_medium
train_fast_pass_by
cricket_match
train_arrival
running_jogging
snow_walk
football_stadium_ambience
traffic_horns
storm_thunder_distant
football_failed_goal
cooking_fry
boxing_fighting
aeroplane_take_off_loud
train_pass_by_slow
train_station_ambience
sea_waves_windy
wind_whistle
train_indoor_passing_by
cafe_busy
swimming_pool_indoors
train_announcement
school_playground
jungle_night
tennis_point
traffic_light

What’s Next

Go through an example: