

The DFRobot Audio Analyzer is a versatile device designed to analyze audio signals and provide detailed data on their characteristics, such as frequency, amplitude, and signal strength. This component is widely used in sound engineering, audio visualization, and educational projects. Its compact design and ease of integration make it an excellent choice for hobbyists, students, and professionals working on audio-related applications.








The DFRobot Audio Analyzer is equipped with advanced features to ensure accurate and reliable audio signal analysis. Below are its key technical specifications:
| Parameter | Specification |
|---|---|
| Operating Voltage | 3.3V to 5V DC |
| Operating Current | ≤ 20mA |
| Input Signal Range | 0.2V to 1.0V RMS |
| Frequency Range | 20Hz to 20kHz |
| Output Data Format | Analog and digital (via I2C) |
| Dimensions | 30mm x 22mm |
| Operating Temperature | -40°C to 85°C |
The DFRobot Audio Analyzer has a simple pin layout for easy integration into your projects. Below is the pin configuration:
| Pin | Name | Description |
|---|---|---|
| 1 | VCC | Power supply input (3.3V to 5V DC) |
| 2 | GND | Ground connection |
| 3 | AUDIO_IN | Audio signal input (connect to the audio source) |
| 4 | ANALOG_OUT | Analog output signal representing the amplitude of the audio input |
| 5 | SCL | I2C clock line for digital data communication |
| 6 | SDA | I2C data line for digital data communication |
VCC pin to a 3.3V or 5V power source and the GND pin to ground.AUDIO_IN pin. Ensure the input signal is within the range of 0.2V to 1.0V RMS.ANALOG_OUT pin to monitor the amplitude of the audio signal.SCL and SDA pins to a microcontroller (e.g., Arduino) to retrieve digital data via I2C.0x38. Ensure this address does not conflict with other devices on the I2C bus.Below is an example of how to use the DFRobot Audio Analyzer with an Arduino UNO to read audio data via I2C.
VCC to the 5V pin on the Arduino.GND to the GND pin on the Arduino.SCL to the A5 pin on the Arduino (I2C clock line).SDA to the A4 pin on the Arduino (I2C data line).#include <Wire.h> // Include the Wire library for I2C communication
#define AUDIO_ANALYZER_ADDR 0x38 // Default I2C address of the Audio Analyzer
void setup() {
Wire.begin(); // Initialize I2C communication
Serial.begin(9600); // Start serial communication for debugging
Serial.println("DFRobot Audio Analyzer Initialized");
}
void loop() {
Wire.beginTransmission(AUDIO_ANALYZER_ADDR); // Start communication with the module
Wire.write(0x00); // Request data from the module
Wire.endTransmission();
Wire.requestFrom(AUDIO_ANALYZER_ADDR, 2); // Request 2 bytes of data
if (Wire.available() == 2) {
int highByte = Wire.read(); // Read the high byte
int lowByte = Wire.read(); // Read the low byte
int amplitude = (highByte << 8) | lowByte; // Combine the two bytes
Serial.print("Audio Amplitude: ");
Serial.println(amplitude); // Print the amplitude value
}
delay(100); // Wait for 100ms before the next reading
}
No Output Signal:
AUDIO_IN signal is within the specified range (0.2V to 1.0V RMS).VCC and GND connections).I2C Communication Failure:
SCL and SDA pins.0x38) matches the address in your code.SCL and SDA lines if necessary.High Noise in Output:
Q: Can the module handle stereo audio signals?
A: No, the DFRobot Audio Analyzer is designed for mono audio signals. Use a mixer circuit to combine stereo signals into a single channel if needed.
Q: What is the maximum sampling rate of the module?
A: The module supports audio signals within the frequency range of 20Hz to 20kHz, which is sufficient for most audio applications.
Q: Can I use this module with a Raspberry Pi?
A: Yes, the module can be used with a Raspberry Pi via the I2C interface. Ensure proper configuration of the I2C pins on the Raspberry Pi.
Q: Is the module compatible with 3.3V systems?
A: Yes, the module operates at both 3.3V and 5V, making it compatible with a wide range of microcontrollers.
By following this documentation, you can effectively integrate the DFRobot Audio Analyzer into your projects and achieve accurate audio signal analysis.