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@johnowhitaker
Created July 30, 2023 15:44
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Quick script co-written with Bing AI that listens to mic input and triggers an action (pressing 'x' key) when a loud noise starts. Configure min_time and threshold to your liking. Fun as a controller for 'russian subway dogs' game!
# Import the required modules
import sounddevice as sd # For accessing the microphone
import pynput # For sending keypresses
import numpy as np # For numerical calculations
import time as tm # For measuring time
# Define a function that checks the loudness of the sound input
def check_loudness(indata, outdata, frames, time, status):
global prev_state, last_trigger
# Convert the sound input to a numpy array
indata = np.array(indata)
# Calculate the root mean square (RMS) of the sound input
rms = np.sqrt(np.mean(indata**2))
# Compare the RMS with a threshold value (adjustable)
threshold = 0.04 # Change this value as needed
# Define a minimum time between triggers (in seconds)
min_time = 0.1 # Change this value as needed
# Get the current time (in seconds)
current_time = tm.time()
# Check if the sound input is above or below the threshold
if rms > threshold:
# If the sound input is above the threshold, set the state to True
state = True
else:
# If the sound input is below the threshold, set the state to False
state = False
# Check if the state has changed from False to True
if state and not prev_state:
# If the state has changed from False to True, check if enough time has passed since the last trigger
if current_time - last_trigger > min_time:
# If enough time has passed since the last trigger, trigger an event
print("Loud sound detected!")
# Send a keypress of the letter 'x'
pynput.keyboard.Controller().press('x')
pynput.keyboard.Controller().release('x')
# Update the last trigger time to the current time
last_trigger = current_time
# Update the previous state to the current state
prev_state = state
# Create a stream object that listens to the microphone in real time
stream = sd.Stream(callback=check_loudness,
blocksize=1024,
samplerate=8000)
# Start the stream
stream.start()
# Initialize the variables for storing the last trigger time and the previous state
last_trigger = 0
prev_state = False
# Wait for the user to press 'q' to quit
print("Press 'q' to quit")
while True:
# infinite loop
tm.sleep(0.1)
# Stop and close the stream
stream.stop()
stream.close()
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You can get better latency at the cost of potential underruns by reducing the blocksize

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