Uploaded May 2023 | Updated September 2026, 3 weeks ago
This project utilizes the ESP32-S3 microcontroller and the INMP441 microphone to enable voice command functionality. By leveraging the Espressif Speech Recognition framework, the system can recognize wake-up words like "Hey Siri", and "Ok Google" and execute specific actions associated with those commands. The voice user interface provides a convenient means of interaction in screenless environments and can be applied to a wide range of projects. The implementation involves configuring the ESP32-S3 and integrating the INMP441 microphone to capture audio input, processing the speech recognition using the framework, and linking recognized commands to predefined actions. Overall, this project enables users to control various tasks and functions by speaking voice commands, enhancing usability in scenarios where traditional screen-based interfaces are not available.
[ESP-SR Speech Recognition Framework]
github.com/espressif/esp-sr
[ESP-Skainet for Generic ESP32-S3 DevKit-C]
github.com/0015/esp-skainet/tree/ESP32-S3-Devkit-C
[ESP32-S3-DevKitC-1-N8R8 Development Board]
amzn.to/3FZmfAM
[INMP441 Omnidirectional Microphone]
amzn.to/3Ma8C47
#VUI #Voice #Speech #Recognition #MCU #ESP32 #ThatProject
This project utilizes the ESP32-S3 microcontroller and the INMP441 microphone to enable voice command functionality. By leveraging the Espressif Speech Recognition framework, the system can recognize wake-up words like "Hey Siri", and "Ok Google" and execute specific actions associated with those commands. The voice user interface provides a convenient means of interaction in screenless environments and can be applied to a wide range of projects. The implementation involves configuring the ESP32-S3 and integrating the INMP441 microphone to capture audio input, processing the speech recognition using the framework, and linking recognized commands to predefined actions. Overall, this project enables users to control various tasks and functions by speaking voice commands, enhancing usability in scenarios where traditional screen-based interfaces are not available.
[ESP-SR Speech Recognition Framework]
github.com/espressif/esp-sr
[ESP-Skainet for Generic ESP32-S3 DevKit-C]
github.com/0015/esp-skainet/tree/ESP32-S3-Devkit-C
[ESP32-S3-DevKitC-1-N8R8 Development Board]
amzn.to/3FZmfAM
[INMP441 Omnidirectional Microphone]
amzn.to/3Ma8C47
#VUI #Voice #Speech #Recognition #MCU #ESP32 #ThatProject
![[USB-Serial] Android Phone + ESP32-LoRa Module + Chat App = Text Transceiver!](https://i.ytimg.com/vi/4GVH3JicaPo/mqdefault.jpg "[USB-Serial] Android Phone + ESP32-LoRa Module + Chat App = Text Transceiver!
Overview:
This project combines an Android chat app with an ESP32-based LoRa module to enable the wireless transmission of short messages. The Android app provides a user-friendly interface for sending and receiving messages, while the LoRa module facilitates long-range communication between the app and physical devices.
Workflow:
1. Android app establishes USB-Serial connection with ESP32 module.
2. Messages are sent from the app to the ESP32 module via USB-Serial.
3. ESP32 module transmits the messages wirelessly using LoRa.
4. Received messages are forwarded from the ESP32 module to the recipients app via USB-Serial.
5. Messages are displayed to the recipient.
Benefits:
- Long-range communication capability
- Low power consumption for extended device operation
- Internet-independent communication
This project enables wireless short message transmission by integrating an Android chat app with an ESP32-based LoRa module, offering users a convenient way to communicate over long distances without relying on internet connectivity.
[Google Play - LoRa Chat App ]
https://play.google.com/store/apps/details?id=com.thatproject.lora_chat
[ESP32+LoRa(915Mhz)]
https://amzn.to/3NcxCIP
[ESP32-LoRa(SX1262) Source Code]
https://github.com/0015/ThatProject/tree/master/ESP32-LoRa/Chat_APP_SX1262
#Transceiver #ESP32 #LoRa #Android #ChatApp #UART #ThatProject")
