"""
Test and calibrate microphone sensitivity
Helps find the right energy threshold for your environment
"""
import sys
import os
sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
import speech_recognition as sr
import time
import threading
def test_microphone_levels():
"""Test microphone and show energy levels"""
print("=" * 50)
print(" Microphone Calibration Tool")
print("=" * 50)
print()
# Create recognizer
recognizer = sr.Recognizer()
recognizer.energy_threshold = 2000 # Start with low threshold for calibration
recognizer.dynamic_energy_threshold = False # Disable for consistent readings
# Get microphone
try:
mic = sr.Microphone()
except Exception as e:
print(f"ERROR: Could not access microphone: {e}")
return
print("Initializing microphone...")
# Adjust for ambient noise first
with mic as source:
print("Adjusting for ambient noise... Please be quiet for 2 seconds.")
recognizer.adjust_for_ambient_noise(source, duration=2)
print(f"Ambient energy level: ~{recognizer.energy_threshold:.0f}")
print("\nMonitoring microphone energy levels...")
print("Speak into the microphone to see the energy levels!")
print("Press Ctrl+C to stop")
print()
print("Energy Level:")
print("-" * 60)
# Flag to control the monitoring loop
monitoring = True
def monitor_audio():
"""Monitor audio in a separate thread"""
with mic as source:
while monitoring:
try:
# Read audio data
audio = recognizer.listen(source, timeout=0.5, phrase_time_limit=0.5)
# Get energy of audio
energy = recognizer.get_energy(audio)
# Create visual bar
max_bar = 50
bar_length = int(energy / 200) # Scale down for display
bar_length = min(bar_length, max_bar)
# Color coding
if energy < 2000:
bar_char = "-" # Too quiet
elif energy < 4000:
bar_char = "=" # Good range
elif energy < 8000:
bar_char = "≡" # Loud
else:
bar_char = "█" # Very loud
bar = bar_char * bar_length
# Print with carriage return to update same line
status = "SILENT" if energy < 1000 else "ACTIVE"
print(f"\r{energy:>6.0f} [{status:^7}] |{bar:<50}|", end="", flush=True)
except sr.WaitTimeoutError:
# No sound, show baseline
print(f"\r{0:>6.0f} [SILENT ] |{'':<50}|", end="", flush=True)
except Exception as e:
# Ignore errors during monitoring
pass
# Start monitoring in thread
monitor_thread = threading.Thread(target=monitor_audio, daemon=True)
monitor_thread.start()
try:
# Keep main thread alive
while True:
time.sleep(0.1)
except KeyboardInterrupt:
monitoring = False
print("\n\nCalibration stopped.")
# Wait for thread to finish
monitor_thread.join(timeout=1)
# Recommendations
print("\n" + "=" * 60)
print("ENERGY LEVEL GUIDE:")
print()
print(" < 1000 - No sound detected")
print(" 1000-2000 - Very quiet (breathing, rustling)")
print(" 2000-4000 - Normal speaking voice")
print(" 4000-8000 - Loud speaking voice")
print(" > 8000 - Very loud or close to microphone")
print()
print("RECOMMENDATIONS:")
print()
print("Set energy_threshold in voice_config.ini to:")
print("- Just above your room's ambient level (when quiet)")
print("- But below your normal speaking voice level")
print()
print("For example:")
print("- If ambient is ~1500 and voice is ~3000, use 2000-2500")
print("- If ambient is ~3000 and voice is ~6000, use 4000-5000")
print()
print("Current setting in config: Check voice_config.ini")
if __name__ == "__main__":
test_microphone_levels()
input("\nPress Enter to exit...")
