Approach for Real-Time Voice Transfer System with Human Speech Filter using ESP32

1. Hardware Setup: ESP32 Boards: Use two ESP32 boards; one for capturing and processing audio (Transmitter) and the other for receiving and playing audio (Receiver). Microphones: Connect two microphones to the first ESP32 (Transmitter) to capture audio. Speaker: Connect a speaker to the second ESP32 (Receiver) to output audio.
2. Software Configuration: Arduino IDE Setup: Install Arduino IDE and add the ESP32 board support package. Library Installation: Install necessary libraries like BluetoothSerial for Bluetooth communication and I2S for audio data handling.
3. Bluetooth Communication: Pairing: Establish Bluetooth communication between the two ESP32 boards for data transfer.
4. Audio Data Capture and Processing: Microphone Input: Use I2S protocol to read audio data from the microphones. Filtering: Implement a filter to detect and isolate human speech from other noises using FFT or thresholding methods.
5. Data Transmission: Send Processed Audio: Transmit the filtered audio data from the Transmitter ESP32 to the Receiver ESP32 using Bluetooth.
6. Audio Output: Receive and Play Audio: The Receiver ESP32 receives the audio data and uses I2S to output it through the connected speaker.
7. Optimization: Latency Minimization: Optimize the Bluetooth communication and I2S data handling to minimize latency for real-time performance. Filter Tuning: Adjust the filtering parameters to ensure accurate detection and transmission of human speech. Summary: Setup Hardware: Connect microphones and speaker to respective ESP32 boards. Configure Software: Set up Arduino IDE, install libraries, and write code for Bluetooth communication and audio processing. Implement Bluetooth Communication: Pair the ESP32 boards and establish a data transfer link. Capture and Filter Audio: Read audio data using I2S, apply filtering to isolate human speech. Transmit and Output Audio: Send the filtered audio data via Bluetooth, receive it on the second ESP32, and output through the speaker. Optimize Performance: Minimize latency and fine-tune the filter for better speech detection.