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Waveshare ESP32-S3 AI Smart Speaker Development Board

₹2,519.00 (Inclusive of all taxes)
Out of Stock

The Waveshare ESP32-S3 AI Smart Speaker Development Board is a feature-rich platform for building voice-interactive IoT applications, powered by a dual-core ESP32-S3R8 processor with integrated Wi-Fi, Bluetooth 5.0, and offline AI speech recognition.

Features

  • ESP32-S3R8 dual-core processor with 8MB PSRAM and 16MB Flash for robust AI and audio processing.
  • Integrated dual digital microphones with ES7210 ADC and ES8311 DAC for high-quality audio input and output with noise reduction.
  • Supports offline voice commands and AI interaction, ideal for standalone smart speaker and voice assistant projects.
  • Onboard 7x RGB surround LEDs, TF card slot, and expansion interfaces for SPI LCDs and DVP cameras.
  • Built-in battery management circuit (MP1605GTF-Z) for portable operation with 3.7V Li-ion batteries.

Out of stock

Description

The Waveshare ESP32-S3 AI Smart Speaker Development Board integrates the Espressif ESP32-S3R8 dual-core Xtensa LX7 processor, capable of running at up to 240 MHz, providing the computational power necessary for real-time audio processing and AI-driven speech recognition tasks. Its integrated 2.4 GHz Wi-Fi and Bluetooth 5.0 (LE) enable seamless connectivity for IoT deployments, from smart home hubs to interactive voice interfaces.

Onboard audio hardware includes a dual digital microphone array paired with the ES7210 ADC for high-fidelity audio capture and the ES8311 DAC for clear audio playback, featuring advanced noise reduction and echo cancellation algorithms. The board’s power architecture is designed for portable applications, incorporating an MP1605GTF-Z buck regulator delivering 3.3V at 2A and a dedicated charging circuit for 3.7V Li-ion batteries, managed by a physical battery switch.

Extensive I/O and expansion capabilities, including a USB Type-C interface for programming and power, SPI, I2C, GPIOs, a TF card slot for audio storage, and dedicated connectors for external SPI LCDs and DVP cameras, make it a versatile foundation for developing sophisticated Human-Machine Interface (HMI) and edge AI applications without requiring extensive peripheral hardware.

Key Features

  • Dual-core ESP32-S3R8 processor with AI acceleration for efficient offline speech recognition and command processing.
  • Professional-grade audio pipeline with dual-mic array, codec, and hardware-based noise/echo cancellation.
  • Comprehensive wireless connectivity via integrated 2.4 GHz Wi-Fi and Bluetooth 5.0 for IoT network integration.
  • Dynamic visual feedback through seven programmable RGB LEDs arranged in a surround configuration.
  • Dedicated expansion ports for attaching SPI-based displays and DVP interface cameras, enhancing project scope.
  • Onboard real-time clock (PCF85063) with alarm and wake-up functions for time-sensitive and low-power applications.
  • Robust power management system supporting USB-C input, battery operation, and a high-current 3.3V regulator.
  • Ample memory configuration with 512KB SRAM, 8MB PSRAM, and 16MB Flash for complex application firmware.

Applications

  • Smart Speakers and Voice Assistants for home automation and control.
  • Interactive Human-Machine Interface (HMI) panels for industrial or commercial use.
  • Portable IoT devices with voice control and audio feedback capabilities.
  • Edge AI projects requiring local speech recognition and audio processing.
  • Prototyping platforms for educational and research in embedded AI and audio systems.

Technical Specifications

Microcontroller / SoCESP32-S3R8 (Dual-core Xtensa LX7, up to 240 MHz)
Wireless ProtocolsWi-Fi 2.4 GHz, Bluetooth 5.0 (LE)
Memory512KB SRAM, 8MB PSRAM, 16MB Flash
Audio InputDual Digital Microphones, ES7210 ADC
Audio OutputES8311 DAC, Speaker Output
Power SupplyUSB Type-C or 3.7V Li-ion Battery
RegulatorMP1605GTF-Z (3.3V, 2A Output)
InterfacesUSB-C, I2C, SPI, GPIOs, TF Card Slot, SPI LCD, DVP Camera
Additional ICsPCF85063 RTC
Indicators7x RGB LEDs
Dimensions (mm)58 x 58 (LxW)
Weight (g)90

Frequently Asked Questions

How do I program the Waveshare ESP32-S3 AI Smart Speaker Board?

The board is programmable via the Arduino IDE, ESP-IDF, or MicroPython frameworks using the onboard USB Type-C port. Install the ESP32-S3 board support package in your chosen IDE, connect the board via USB, select the correct COM port and board model (e.g., ESP32-S3 Dev Module), and upload your sketch. The USB connection provides both serial communication and power during development. For AI speech models, you may need to incorporate Espressif's ESP-SR (Speech Recognition) library within ESP-IDF.

What is the power requirement and how do I use it with a battery?

The board can be powered via the USB Type-C port (5V) or directly through its battery connector using a single-cell 3.7V Li-ion or LiPo battery. The onboard MP1605GTF-Z buck regulator steps the input down to a stable 3.3V for the core system. A physical slide switch allows you to select between USB and battery power sources. The integrated charging circuit will recharge a connected battery when USB power is present. For portable operation, ensure your battery can supply the required current, especially during Wi-Fi transmission and audio playback.

Can I use external displays and cameras with this development board?

Yes, the board includes dedicated expansion headers for an SPI LCD display and a DVP (Digital Video Port) parallel camera. For the LCD, connect the display's SPI pins (SCK, MOSI, MISO, DC, CS, RST) and backlight control to the corresponding GPIOs marked on the board's silkscreen. For a camera, use a compatible DVP module (e.g., OV2640) and connect its data and control lines. You will need to configure the ESP32-S3's I2S or LCD/Camera peripheral drivers in your firmware, typically using libraries like TFT_eSPI for displays or the ESP32 camera driver for vision applications.

Package Includes

  • 1 x Waveshare ESP32-S3 AI Smart Speaker Development Board

Additional Information

Weight 0.09 kg
Dimensions 5.8 × 5.8 cm