The ESP32-AIVoice-Z01 is an affordable ESP32-S3-powered AI voice kit designed for creating voice-controlled AI applications. It features Wi-Fi and Bluetooth connectivity through the ESP32-S3 SoC, a dual digital microphone array for accurate voice recognition, and an onboard amplifier. The system also implements audio algorithms for noise reduction and echo cancellation.
The ESP32-AIVoice-Z01 board supports Espressif’s WakeNet voice wake-up framework and integrates with the AiLinker open-source backend service framework to enable the connection to various large AI model services like OpenAI, ZhiPu QingYan, TongYi QianWen, and DouBao. These features make this device suitable for developing AI-powered toys, IoT devices, mobile devices, and smart home applications.
ESP32-AIVoice-Z01 ESP32 AI voice kit specifications
- Wireless module – ESP32-S3-WROOM-1U
- SoC – Espressif Systems ESP32-S3 dual-core Xtensa LX7 processor
- Memory – 8MB PSRAM
- Storage – 16MB flash
- Wireless – WiFi 4 and Bluetooth 5.0 connectivity with external antenna
- Storage – MicroSD card slot
- Audio
- Dual digital microphone array (SNR 65dB) with PDM interface
- 4 Ohm 2.5W power amplifier
- I2S interface for external DAC or amplifier
- Support for noise reduction, VAD (Voice Activity Detection), and AEC (Acoustic Echo Cancellation) algorithms
- USB – USB-C for power and programming
- Other interfaces
- SPI screen interface
- DVP camera interface (not supported in the voice version)
- GPIO, UART, I2C, I2S, PWM
- Misc
- RGB LEDs
- power toggle switch
- Speaker connector
- ESP Reset and BOOT buttons
- battery connector
- SPI interface with 1.25mm x 8PIN terminals
- Power Management
- 3.3V to 5V input via USB-C, <10mA in deep sleep mode
- 3.7V lithium battery interface with battery voltage measurement
- Battery charging current 555mA @5V
- Dimensions – 77 x 36 x 33 mm
- Temperature Range – 10°C to 60°C
- ESD Protection – Air ±8kV, Contact ±4kV
The board comes with pre-trained wake word detection for hands-free operation, speech recognition for command processing, and AI-based speech synthesis (TTS) support for generating natural responses. The board can be programmed with Arduino IDE or ESP-IDF framework. Sadly all documentation is only available in Chinese right now including a Quick Start guide and Hardware guide.
Previously we have written about Espressif’s ESP32-S3-BOX AI development kit which is ideal for online and offline voice applications, we have also covered Banana Pi BPI-AI-Voice dev kit which is a Speech Recognition Development Kit based on MicroSemi ZL38063. M5Stack also released their AX630C-powered offline LLM module which has speech recognition features and can be used for applications like smart homes, voice assistants, and industrial control.
The ESP32-AIVoice-Z01 ESP32 AI voice kit costs $23.02 on the YouYeeTtoo’s store. The demo below shows the solution work with both Chinese and English languages.
Debashis Das is a technical content writer and embedded engineer with over five years of experience in the industry. With expertise in Embedded C, PCB Design, and SEO optimization, he effectively blends difficult technical topics with clear communication
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Better to use microWakeWord instead as then it is relativly easy to change the wakeword model -> https://github.com/kahrendt/microWakeWord
See proof-of-concept of mWW used in ESPHome firmware for Home Assistant Voice Preview Edition -> https://github.com/esphome/home-assistant-voice-pe
I’m not sure microWakeWord supports ESP32-S3 as well as the Espressif port.
Edit: OK. I got your point. It looks like wakeword customization is more complicated with WakeNet since people may have to contact Espressif (that post was written in 2019, so I’m not sure it’s still the case)
Yeah its crazy Espressif have locked in there KW model to a on site pay4 custom service.
It breaks the whole framework for most who will start developing alternatives as they blobs they provide seem very locked in to the Espressif system…
Regardless that is low-end hardware specifications compared to the new reSpeaker Lite from Seeed Studio which features XMOS xCORE MCU as dedicated DSP for best-in-class noise reduction + echo cancellation and more -> https://www.cnx-software.com/2024/08/05/respeaker-lite-voice-assistant-kit-combines-xmos-xu-316-and-esp32-s3-for-advanced-voice-processing-home-assistant-integration/
FYI,,microWakeWord was originally written for ESP32-S3 but has since been optimized to even run on some lower-end ESP32 variants. ESP32-S3 does however allow you to have several active wake-words at the same time (up to three wake words now I believe).