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Ghost Sound
Ghost Sound – Micro-Noise Detector & Real-Time Spectrogram Analyzer

Ghost Sound is an advanced real-time audio analysis tool designed to detect ultra-low-level and hidden sounds that are normally beyond human hearing capability. Using high-resolution FFT processing, Ghost Sound visualizes sound energy across the full frequency spectrum and identifies sudden spikes, anomalies, and unusual signal patterns.

Whether you're analyzing environmental acoustics, recording research audio, investigating paranormal or unexplained energetic activity, or monitoring industrial/mechanical sound health, Ghost Sound gives you precise micro-sound insight.

Key Features

• Ultra-sensitive real-time noise monitoring
• Live frequency spectrum visualised with dynamic spectrogram
• Detect audio signals beyond normal human perception
• Automatic spike detection with event counter
• Adjustable sample rate (44.1kHz–192kHz) and FFT resolution
• Noise floor analysis to identify anomalies against background sound
• USB external microphone support for high-precision capture
• Clean iOS-inspired user interface for professional users
• Smart Start/Stop monitoring controls
• Auto-hide spectral note while monitoring
• Full permission and error-handling system
• Animated high-quality splash screen

Use Cases & Real-World Applications

Ghost Hunting & Paranormal Research:
• Detect unexplained sound energy and EVP (Electronic Voice Phenomena)
• Visualize ghost-like energy signatures, knocks, whispers, and anomalies
• Record environmental sound changes in abandoned structures or haunted spaces

Scientific & Industrial Measurements:
• Machine health monitoring (bearing noise, motor imbalance, vibration)
• HVAC systems, engines, fans, drones, and robotics sound diagnostics
• Environmental sound monitoring, wildlife research, ecosystem study

Security & Surveillance:
• Detect break-ins, tapping, window vibration, or tiny movement sounds
• Monitor quiet rooms, safes, storerooms, or private offices

Music & Studio Acoustics:
• Analyze room resonance and frequency behaviour
• Detect unwanted interference, hiss, hum, and electrical noise

Education & Experimentation:
• Learn about audio frequency, wave behaviour, and signal analysis
• Great for physics labs, audio engineers, sound design students

Personal and Everyday Uses:
• Diagnose strange noises in homes (pipes, leaks, electronic hums)
• Monitor sleeping environments (snoring, pets, insects, ultrasonic buzz)
• Find high-frequency electronic whistling from chargers or appliances

Why Ghost Sound Stands Out

Ghost Sound is engineered like a professional scientific monitoring tool.
Unlike simple decibel meter apps, it uses real-time FFT analysis and multi-band spectrum visualization to highlight micro-energy variations and ultra-quiet acoustic changes.

The app focuses on precision, clarity, and a clean modern design to ensure an advanced yet intuitive experience.

Note:
For best performance, use a "high-quality external USB microphone" capable of extended frequency response (including ultrasonic and infrasound ranges).

Experience sound beyond human perception.

Explore hidden frequencies. Capture the unexplained. Detect the unseen.

Download Ghost Sound now and start listening to the invisible world.
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Skærmbilleder

#1. Ghost Sound (Android) Ved: Krayknot Labs
#2. Ghost Sound (Android) Ved: Krayknot Labs
#3. Ghost Sound (Android) Ved: Krayknot Labs

Nyheder

  • Version: 1.0
  • Opdateret:
  • In this release
    ✔ Boosts low-level signals
    ✔ Makes whisper/background noise visible
    ✔ Keeps loud peaks controlled
    ✔ Matches human hearing response

Prishistorie

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Yderligere oplysninger

«Ghost Sound». Platform: Android. Kategori: Værktøjer. Udvikler: «Krayknot Labs». Første udgivelse: . Sidste opdatering: . Nuværende pris: gratis. Denne titel har endnu ikke modtaget vurderinger eller anmeldelser på AppAgg. AppAgg sporer prishistorik, vurderinger og brugerfeedback for «Ghost Sound». Følg fremtidige rabatter og opdateringer via RSS. AppAgg hoster ikke applikationer eller distribuerer software. Alle varemærker, logoer og skærmbilleder tilhører deres respektive ejere.

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