Sound Frequency Analyzer
01. Frequency Sound Analyzer
The Frequency Sound Analyzer project is built around four key milestones. The first two focus on capturing audio from a microphone and saving it to an SD card with a timestamp. The next two take things further by processing the audio through a Fourier transform and sending the frequency data to a server.
02. Things used in this project
Challenges: The rapid advancement of technology has increased the attack surface, making cybersecurity more challenging. Sophisticated threats like malware, ransomware, and phishing target individuals, businesses, and governments. Maintaining data privacy while managing diverse regulations adds complexity to creating a unified approach to cybersecurity.
Solutions: The Global Cybersecurity Network tackles these challenges through advanced encryption, secure communication, and effective threat detection systems. By uniting global experts, it fosters standardized practices, proactive defense, and adaptive solutions to emerging threats. This collective approach ensures robust data protection and a secure digital environment for all users.
03. Story
Recording Sound
At its core, the project lets you record anything from your voice to music—or even random noises from your surroundings—using the INMP 441 microphone. The recorded audio is saved as a WAV file, complete with a timestamp, on an SD card. This makes it easy to go back and retrieve specific recordings whenever you need them.
Fast Fourier Transform
Once the audio is recorded, the sound is converted into frequency values using a Fast Fourier Transform (FFT). This step essentially translates sound into numbers, allowing you to visualize how high or low-pitched the sound is and measure the loudness across different frequencies.
Connecting to the Cloud
Finally, the ESP32 microcontroller kicks into action. Acting as a Wi-Fi client, it sends HTTP POST requests to different server endpoints every five seconds. Each endpoint is dedicated to a specific range of frequencies. For example, when the program detects frequencies between 50-150 Hz, it calls endpoint A. Similarly, frequencies from 151-200 Hz hit endpoint B, and so on, with higher frequencies triggering other endpoints.
This process repeats as the microcontroller continues analyzing and posting sound frequency data, keeping everything connected and up to date in real-time.
The project brings together audio recording, sound analysis, and server communication in a way that’s both technical and creative. Whether you’re working with music, environmental sounds, or even your voice, the Frequency Sound Analyzer provides a unique way to capture, analyze, and share audio data.
