Make your Life smarter with ESP32-S3-BOX|KCK Market

A framework for creating the control of smart devices with offline and online voice assistants is provided by the ESP32-S3-BOX AI speech-development kit. The ESP32-S3-BOX is perfect for creating IoT devices that directly enable speech interaction between humans and computers, as well as smart speakers. A touch screen controller, a number of sensors, an infrared controller, and a smart gateway are all integrated within the ESP32-S3-BOX to do this.

The ESP32-S3-BOX may really serve as the "control centre" for a user's whole environment, enabling them to quickly connect to a variety of smart gadgets via voice commands or the device's touch screen. AI image processing, Wi-Fi human-body identification, and wireless picture transfer are also among the major features of the ESP32-S3-BOX.These features can be especially helpful in an office setting because they make running the reception area and conference rooms easier.

This is mainly for developers!!

Developers may create an AI voice-controlled, high-performance solution fast with the ESP32-S3-BOX. Based on ESP32-S3 Wi-Fi + Bluetooth 5 (LE) SoC, the ESP32-S3-BOX has AI capabilities. Along with the 512KB SRAM of the ESP32-S3, the ESP32-S3-BOX has 16MB of QSPI flash and 8MB of Octal PSRAM.

The ESP32-S3-BOX also has a number of peripherals, including two Pmod-compatible headers, a 2.4-inch display with a 320x240 resolution, a capacitive touch screen, a dual microphone, and a speaker that enable the hardware to be expanded. The ESP32-S3-BOX also makes use of a Type-C USB connection, which supplies 5 V of power input and may be used for serial and JTAG debugging as well as a programming interface.

ONLINE AND OFFLINE VOICE ASSISTANT:

1. The voice assistant on the ESP32-S3-BOX is both online and offline and may be used as a standalone voice assistant or as a voice-enablement module that can be added to other devices.
2. A high-performance audio front-end and a wake-word engine are necessary for any high-quality voice assistant. Espressif's Audio Front-End (AFE) algorithms, which benefit from the AI accelerator present in the ESP32-S3 SoC, are in fact supported by ESP32-S3-BOX.
3. As a result, the ESP32-S3-BOX performs admirably without the need for an additional DSP co-processor. With just two microphones and a combination of the AI accelerator and Espressif's AFE algorithms, it is possible to achieve a 360-degree and far-field 5 m pickup while maintaining high-quality, stable audio data.
4. Additionally, it enhances the quality of the target audio source in high-SNR scenarios, resulting in a stellar voice interaction performance.
5. Amazon has certified Espressif's AFE algorithms as a "Software Audio Front-End" solution for Alexa built-in devices.
6. The ESP-Skainet SDK offers a dependable offline voice assistant that lets programmers set up to 200 commands. The Alexa for IoT SDK?makes it simple to incorporate Alexa functionality into IoT devices.
7. It is important to note that the most recent version of ESP-Skainet (Espressif's offline voice-assistant SDK) includes two brand-new features that might manifest an improved interactive experience catered to customers' needs:

The ability to wake up the gadget whenever it is speaking or playing music.

Support for continued conversation with the device once it has been awakened.

Additionally, ESP-Skainet enhances the device's voice recognition capabilities and lowers the number of false wake-ups while maintaining a high wake-up rate.

Look at some of the most important use cases that are readily supported by ESP32-S3-BOX.

Additional Resources

Espressif provides developers with full access to its open-source technical resources, i.e. the ESP32-S3-BOX?hardware reference design and user guide,?LVGL guide,?ESP-SR speech-recognition model library?(including the wake-work detection model, speech-command recognition model, and acoustic algorithms), as well as?ESP-DL deep-learning library?that provides APIs for Neural Network (NN) Inference, Image Processing, Math Operations and some Deep Learning Models. Furthermore,?Espressif’s IoT Development Framework (ESP-IDF)?simplifies secondary development around ESP32-S3-BOX, and supports high-performance AI applications to run on the board, thus speeding up time-to-market for the end product.?

ESP32-S3 Speech recognition demo video:

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