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faq
A: SCRIBE (Sonic Resonance Intelligence and Behavioral Exploration) is an advanced resonance intelligence platform that uses acoustic signals to analyze and interpret environments, materials, and structural properties through active sensing and AI-powered pattern recognition.
A: SCRIBE emits controlled acoustic signals, captures the environmental response, processes the signals using FFT and other techniques, interprets the patterns using AI, and provides insights about materials, environments, and structural properties.
A: SCRIBE can detect:
- Material types (wood, metal, plastic, glass, etc.)
- Environmental characteristics (room size, reverberation, etc.)
- Structural properties (resonances, anomalies, etc.)
- Acoustic properties (frequency response, harmonics, etc.)
A: Accuracy varies by environment and conditions, but typically ranges from 70-90% confidence for well-controlled environments. The system learns and improves over time with user feedback.
A: Minimum requirements:
- Python 3.13+
- 2GB RAM
- 1GB disk space
- Audio hardware (optional, mock audio available)
A: No. SCRIBE includes a mock audio system for development and testing. For production use, real audio hardware is recommended but not required.
A: Run the deployment script:
./deploy.shThis will set up the virtual environment, install dependencies, and validate the installation.
A: Yes, SCRIBE is cross-platform compatible. The installation script works on all major operating systems.
A: Use the interactive mode:
./start_interactive.shThen type commands like /scan or ask natural language questions.
A: Common commands:
-
/scan- Perform resonance scan -
/status- Check system health -
/help- Show available commands -
/history- View scan history -
/feedback- Provide corrections
A: Yes. Start the API server:
./start_api.shThen use the REST API endpoints documented in the API section.
A: Provide feedback on scan results:
SCRIBE> /feedback material oak
SCRIBE> /feedback rating 5
The system learns from corrections and improves over time.
A: SCRIBE supports:
- Sample rates: 22050, 44100, 48000, 96000 Hz
- Channels: Mono (1) or Stereo (2)
- Formats: 16-bit, 32-bit, and 32-bit float
A: SCRIBE can generate:
- Sine waves (single frequency)
- Frequency sweeps (20Hz - 20kHz)
- Pulse bursts
- Harmonic stacks
A: Typical scan duration:
- Signal generation: 0.1-0.5 seconds
- Audio capture: 1-5 seconds (configurable)
- Processing: 0.5-2 seconds
- Total: 2-8 seconds
A: Yes, SCRIBE can perform real-time analysis with appropriate configuration. Use the performance optimization settings for real-time operation.
A: PyAudio is optional. SCRIBE will automatically use mock audio if PyAudio is not available. For real audio, install PyAudio:
pip install pyaudioA: Common causes and solutions:
- Background noise: Minimize environmental noise
- Poor positioning: Keep microphone/sensor consistent
- Wrong parameters: Adjust frequency and duration for your target
- Hardware issues: Check audio device connections
A: Check for:
- Port conflicts:
lsof -i :8000 - Missing dependencies:
pip install fastapi uvicorn - Permission issues: Use appropriate user permissions
A: Solutions:
- Reduce scan history: Set
max_historyin config - Use smaller buffers: Reduce
chunk_sizeandbuffer_size - Restart system: Clear accumulated memory
A: Yes. SCRIBE provides:
- REST API for HTTP integration
- WebSocket for real-time communication
- Database access for direct data integration
- Message queue support for asynchronous processing
A: Use API key authentication:
client = ScribeClient(api_key="your-api-key")Configure API keys in the security settings.
A: Yes. A Dockerfile is provided:
docker build -t scribe:latest .
docker run -p 8000:8000 scribe:latestA: Use the built-in monitoring:
- Prometheus metrics on port 8001
- Performance tracking in logs
- Health check endpoint:
/health
A: Yes, SCRIBE is released under the MIT license. See the LICENSE file for details.
A: Yes, the MIT license permits commercial use. Please retain the copyright notice.
A: No, there are no usage restrictions. However, please ensure compliance with local regulations regarding acoustic emissions.
A: Yes, you can redistribute SCRIBE under the same MIT license terms.
python3 -m venv scribe_env
source scribe_env/bin/activateGlobal installation can cause conflicts with other Python packages.
python3 validate_system.pyAlways validate the installation before use.
{
"audio": {
"sample_rate": 44100,
"use_real_audio": true
},
"processing": {
"window_size": 2048
}
}Different use cases require different configurations.
# Check system resources
top
htopAddress performance problems early.
# Material analysis
SCRIBE> /scan --type=sine --frequency=440 --duration=2
# Room analysis
SCRIBE> /scan --type=sweep --duration=5Different targets require different parameters.
SCRIBE> /feedback material oak
SCRIBE> /feedback rating 5Feedback improves system accuracy.
- Close windows and doors
- Turn off noisy equipment
- Use consistent positioning
Background noise reduces accuracy.
try:
result = client.perform_scan(config)
except requests.RequestException as e:
print(f"API error: {e}")Network issues can cause failures.
import time
def scan_with_delay(config):
result = client.perform_scan(config)
time.sleep(1) # Rate limiting
return resultExcessive requests can cause performance issues.
from functools import lru_cache
@lru_cache(maxsize=100)
def cached_scan(frequency, duration):
config = ScanConfig(frequency=frequency, duration=duration)
return client.perform_scan(config)Some data should always be fresh.
server {
listen 443 ssl;
ssl_certificate /path/to/cert.pem;
ssl_certificate_key /path/to/key.pem;
}Unencrypted traffic is insecure.
# Health check endpoint
@app.get("/health")
async def health():
return {"status": "healthy"}You need to know when problems occur.
export SCRIBE_API_KEY="your-secret-key"
export SCRIBE_DB_PATH="/data/scribe.db"Credentials should never be in source code.
# Use type hints
def perform_scan(config: ScanConfig) -> Dict[str, Any]:
"""Perform a resonance scan."""
pass
# Use docstrings
class ScribeClient:
"""Client for SCRIBE API."""
passMaintainable code is important.
import pytest
def test_scan_performance():
client = ScribeClient()
config = ScanConfig(frequency=440, duration=1.0)
result = client.perform_scan(config)
assert 'interpretation' in resultTests prevent regressions.
## Changes
- Added new signal type 'chirp'
- Improved error handling
- Updated documentationDocumentation helps other developers.
client = ScribeClient(api_key="secure-api-key")Unprotected APIs are security risks.
def validate_frequency(frequency):
if not 20 <= frequency <= 20000:
raise ValueError("Frequency out of range")Always validate external data.
# Use HTTPS URLs
client = ScribeClient(base_url="https://scribe.example.com")HTTP traffic can be intercepted.
# Backup database
cp scribe_learning.db backup/scribe_$(date +%Y%m%d).dbRegular backups prevent data loss.
# Clean old scan history
if len(scan_history) > max_history:
scan_history = scan_history[-max_history:]Unlimited growth causes performance issues.
# Check disk usage
df -h
du -sh scribe_learning.dbRunning out of space causes failures.
{
"audio": {
"chunk_size": 1024,
"buffer_size": 4096
}
}{
"processing": {
"window_size": 2048,
"n_fft": 2048
}
}from functools import lru_cache
@lru_cache(maxsize=1000)
def cached_interpretation(features_hash):
return interpret_features(features_hash)frequencies = [220, 440, 880, 1760]
results = []
for freq in frequencies:
result = client.perform_scan(ScanConfig(frequency=freq))
results.append(result)# Always provide feedback
for scan in scans:
if scan.confidence < 0.7:
client.add_feedback(scan.scan_id, "rating", 3)# Specialize for room acoustics
config = {
"ai": {
"confidence_threshold": 0.8,
"pattern_adaptation": True
}
}class CircuitBreaker:
def __init__(self, failure_threshold=5):
self.failure_threshold = failure_threshold
self.failure_count = 0
def call(self, func, *args, **kwargs):
if self.failure_count >= self.failure_threshold:
raise Exception("Circuit breaker open")
try:
return func(*args, **kwargs)
except:
self.failure_count += 1
raiseimport time
def retry_call(func, max_attempts=3):
for attempt in range(max_attempts):
try:
return func()
except Exception as e:
if attempt == max_attempts - 1:
raise
time.sleep(2 ** attempt)# Best practices for material analysis
SCRIBE> /scan --type=sine --frequency=440 --duration=2
SCRIBE> /scan --type=sine --frequency=880 --duration=2
SCRIBE> Compare these scans
SCRIBE> /feedback material oak# Best practices for room analysis
SCRIBE> /scan --type=sweep --duration=5
SCRIBE> How reverberant is this room?
SCRIBE> What are the room modes?# Best practices for quality control
SCRIBE> /scan --type=pulse --duration=1
SCRIBE> Detect any anomalies
SCRIBE> /feedback rating 5# Best practices for monitoring
import asyncio
async def monitor_continuously():
client = ScribeClient()
while True:
result = client.perform_scan(ScanConfig(frequency=440, duration=2))
if result['interpretation']['confidence_scores']['overall'] < 0.7:
# Send alert
await send_alert(result)
await asyncio.sleep(60) # Check every minute- Check system status:
/status - Run validation:
python3 validate_system.py - Check logs:
tail -f scribe.log - Verify configuration: Review config.json
- Test with simple scan:
/scan --type=sine --frequency=440 - Check system resources:
top,df -h
| Issue | Solution |
|---|---|
| Low confidence | Reduce noise, adjust parameters, provide feedback |
| Slow performance | Optimize configuration, check resources |
| API errors | Check connectivity, verify API key |
| Audio issues | Use mock audio, check hardware |
| Memory issues | Reduce history, restart system |
- Check this FAQ - Most issues are covered here
- Review documentation - Check relevant sections
- Search issues - Look for similar problems
- Provide details - Include error messages and configuration
- Describe environment - OS, Python version, hardware specs
Last Updated: 2026-05-06
FAQ Version: 1.0.0
Status: Production Ready