Voice Recognitions of 2025
Best Choice1
![Arduino Nicla Voice [ABX00061] – Official Arduino Pro Board Microphone, Edge AI Processing, and Voice Recognition, Made in Italy](https://cdn.gusav.com/b5c10142/loader.svg)
Arduino39% OffArduino Nicla Voice [ABX00061] – Official Arduino Pro Board Microphone, Edge AI Processing, and Voice Recognition, Made in Italy
Main highlights- Optimized for Embedded Voice Applications: Ideal for IoT, wearable, and embedded voice solutions, the Nicla Voice can run AI algorithms directly on the device. This reduces latency and ensures that sensitive voice data is processed locally, providing enhanced privacy and lower dependency on cloud-based systems.
- Made in Italy, Trusted Quality: As part of the Arduino Pro line, the Nicla Voice is produced with high manufacturing standards in Italy, ensuring reliability and quality. With official support from Arduino, the Nicla Voice is backed by the extensive Arduino community, making it a great choice for both prototyping and professional deployment of voice-enabled systems.
- Edge AI for Voice Recognition: The Arduino Nicla Voice is a powerful, compact board designed for real-time voice recognition and audio processing. Powered by the Qualcomm QCC5100 chip and equipped with a high-quality microphone, it enables local processing of audio data for smart voice applications like speech-to-text, sound classification, and voice commands without relying on cloud services.
- Connectivity and Flexibility: The Nicla Voice supports Bluetooth 5.0 for seamless wireless communication with other devices and cloud platforms. It is fully compatible with the Arduino IDE, making it easy for developers to program and deploy voice-enabled applications. The board also offers I2C and SPI interfaces, allowing you to expand its capabilities with additional sensors, actuators, or peripherals.
- Compact Design with Integrated Sensors: Despite its small size, the Nicla Voice includes integrated features like a microphone array for improved voice capture, and built-in motion sensors (accelerometer and gyroscope). These capabilities allow the board to perform voice control, gesture recognition, and even context-aware interactions in a wide range of applications.
9.8Exceptional
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Value for Money2
YahboomYahboom Voice Recognition Playback Module Sound Sensor 85 Offline Voice Commands for DIY Robot Expanding Board Compatible with Arduino Raspberry Pi
Main highlights- 【Support multiple development boards and ROS robots】 Support Raspberry Pi/JETSON NANO/Arduino/STM32 various serial communication development motherboards, provide development materials, case materials take Python code as an example, if you need C language instructions, you can transplant them yourself according to the data manual. A variety of Yahboom robots have been equipped with this intelligent voice interaction module, which can be viewed in this store.
- 【Speech recognition broadcast function】 Based on CSK4002, it is an AlSoC with high performance, strong computing power and low power consumption for the development and design of the AloT field. The comprehensive wake-up rate is 95%, and the comprehensive recognition rate is 93%. The user wakes up the device and speaks the command word, and the device responds after recognition; the command word supports a variety of product scenarios and supports 85 voice command recognition.
- 【Offline Voice Interaction Processing】 The voice interaction module is equipped with an offline voice chip, which is free of programming and easy to use. The human-computer interaction function can be realized by obtaining the recognition result through the serial port; in the offline state, the relevant processing is performed according to the content of the command word, or the content information is transmitted to the host computer for further processing. related processing.
- 【Equipped with detailed learning materials】 Yahboom has prepared comprehensive learning materials for installing voice interaction modules for various robots, from learning STM,jetson nano, and Raspberry Pi code programming. Provide online technical support guidance to teach you how to use voice recognition easily.
- 【360° Effective Pickup】 The front end of the voice module adopts a dual-microphone array algorithm, which can realize user voice pickup within 5m of the 360° far field. Equipped with automatic vocal gain, it can be adaptively adjusted according to the user's volume to ensure that the overall hearing of the audio after noise reduction is consistent.
9.7Exceptional
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3
DFROBOTGravity: Offline Language Learning Voice Recognition Sensor for micro:bit/Arduino / ESP32 - I2C & UART
Main highlights- 【Self-Learning Function+Adding 17 Custom Command Words】: This voice recognition module is equipped with a self-learning function and supports the addition of 17 custom command words. Any sound could be trained as a command, such as whistling, snapping, or even cat meows, which brings great flexibility to interactive audio projects. For instance automatic pet feeder. When a cat emits a meow, the offline voice recognition module can recognize the meow and trigger the feeder to automatically provide food for the cat.
- 【No network required】: This voice recognition sensor can be used without the need for a network connection, making it suitable for various settings. It provides fast response to specific command words and instructions. Moreover, the onboard MCU is equipped with voice recognition algorithms, ensuring that conversations are not recorded or uploaded to the cloud, thus ensuring greater privacy and security.
- 【Integrated Microphone and Speaker with Compact Size】: built-in speaker and external speaker interface for real-time voice feedback of recognition results. Compact size of only 49×32 mm, convenient for embedding in applications.
- 【Easy to Use】: this voice recognition sensor is compatible with micro:bit, Arduino Uno and ESP32. It can be programmed using MakeCode and supports plug-and-play functionality. At the same time, this voice recognition sensor also support I2C and UART communication methods, with a Gravity interface.
- 【121 built-in fixed command words】: The offline voice recognition sensor comes with 121 built-in fixed command words, eliminating the need for users to record their own voices. For instance, in an intelligent window system, when it starts to rain or thunder, there's no need for manual window operation. The offline voice recognition module can recognize the pre-set command word "close the window," triggering the automatic closing of the window to cope with sudden weather changes.
9.5Excellent
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4
WWZMDiBWWZMDiB Voice Recognition Module V3 .1 Compatible with Arduino Elechouse Supports up to 80 Voice Commands
Main highlights- Voltage: 4.5-5.5V
- Voice Recognition Module V3: Users need to train the module first before let it recognizing any voice command
- This board has 2 controlling ways: Serial Port (full function), General Input Pins (part of function). General Output Pins on the board could generate several kinds of waves while corresponding voice command was recognized
- On V3, voice commands are stored in one large group like a library. Any 7 voice commands in the library could be imported into recognizer. It means 7 commands are effective at the same time
- Digital Interface: 5V TTL level for UART interface and GPIO. Analog Interface: 3.5mm mono-channel microphone connector + microphone pin interface
9.4Excellent
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5
YahboomYahboom AI Voice Recognition Module Voice Broadcast Integrated Custom Wake-up Word Programmable Sound Sensor Support Jetson/Raspberry Pi/ESP32/STM32
Main highlights- 【Professional-level voice processing】Built-in CI1302 chip, equipped with neural network processor, integrated echo cancellation and environmental noise reduction technology, the measured recognition accuracy is as high as 99%, effectively suppressing environmental noise and echo interference, ensuring stable operation in complex scenarios.
- 【Plug and play interface design】Onboard IIC, serial port, Type-C interface, with a variety of connection cables (PH2.0 to DuPont cable, double-head cable, Type-C cable), adapt to single-chip microcomputer, embedded master control, and quickly realize hardware docking. Slot design, flexible installation.
- 【Highly customizable voice commands】Supports 110+ preset commands. Users can edit command content online and generate firmware burning through web pages. It supports multi-language commands, which is convenient and efficient to operate and meet the needs of global products.The burning software only supports Windows.
- 【Fully compatible development support】Provides STM32, ESP32, Ard-uin-o, Raspberry-Pi, Jetson Nano, Jetson Orin and other development board materials, supports ROS1/ROS2 system SDK, and meets the development needs of multiple scenarios such as smart hardware, robots, and homes.
- 【AI tech accelerates innovation】Yahboom provides development data solutions and technical support services. Through open source software and hardware design and low-power solutions, this product provides developers with full support from prototype to mass production, helping the smart hardware industry move towards a new era of human-computer interaction. Modify the command word page account: 15338857526, password: Yahboom123.
9.3Excellent
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6
ComidoxComidox 1Pcs VC-02-Kit Voice Control Module Intelligent Offline Speech Module for Smart Home Devices & Lighting Voice Recognition Development Board
Main highlights- Versatile Application: Whether you're developing for smart homes, enhancing small intelligent appliances, or creating interactive toys and lighting, the VC-02 Kit offers a versatile solution. Supporting a lightweight RTOS system, it's specifically designed to meet the demands of creative developers aiming to push the boundaries of voice-controlled innovation
- Unleash Creativity with VC-02 Kit: Elevate your smart home and gadgets to the next level with the VC-02-Kit AI Intelligent Offline Voice Module. Integrated with a CH340C serial to USB chip, it offers fundamental debugging interfaces and USB upgrade options, making it an indispensable tool for hobbyists and innovators alike
- Sophisticated Voice Control: With the ability to recognize 150 local commands offline, the VC-02 Voice Control Module brings smart technology to your fingertips. Without the need for an internet connection
- Intuitive Design, Enhanced Interaction: Experience seamless control with the VC-02's built-in wake-up and mood lights, providing clear status and control indications. This Voice Recognition Module is designed to add a touch of sophistication
- Engineered for Excellence: The VC-02 Development Board is powered by a 32bit RISC architecture core, supplemented with a DSP instruction set tailored for signal processing and voice recognition. It boasts an FPU for floating-point operations and an FFT accelerator, ensuring robust performance for complex projects
9.2Excellent
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7
RakstoreRakstore Speak Recognition Voice Recognition Module V3 Compatible with for Arduino Support 80 Kinds of Voice DC 4.4-5.5 V High Accuracy
Main highlights- Voltage: 4.5-5.5V
- Recognition accuracy: 99% (under ideal environment)；Size: 31mm x 50mm
- Digital Interface: 5V TTL level for UART interface and GPIO
- Current: <40mA
- Analog Interface: 3.5mm mono-channel microphone connector + microphone pin interface
8.9Very Good
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8
MECCANIXITYMECCANIXITY 4 Pcs Microphone Sound Sensor KY-038 Voice Detection Module Voice Sound Detection Sensor Module for Voice-Activated Switch
Main highlights- This high-sensitivity microphone sensor module is suitable for voice recognition systems and can capture and transmit sound signals. It can be used for voice-controlled switch applications such as voice-controlled lights and voice-controlled electronic devices. In addition, in environmental monitoring, it can be used to detect noise levels or sound frequencies.
- The Microphone Sound Sensor, we provide here, is in size of: Working Voltage: DC 3-24 V Output Form: Digital and Analog Output Model: KY-038 Number of Pins:4 In the package of: 4 x Voice Sound Detection Sensor
- Please select the specific microphone voice sound sensor model according to your needs
- High sensitivity: The sound sensor module has high sensitivity and can accurately capture sound signals in the environment. Easy interface: Simple connection to various microcontrollers or electronic devices for easy integration and use. Stability: Provides stable performance and reliable sound detection function.
- 1. Connect the sound detection sensor to your microcontroller correctly, confirming the connections are correct, including the power and signal pins. 2. Provide the appropriate voltage to power the sensor. 3. Write the code suitable for sound detection. 4. Test and calibrate the accuracy.
8.7Very Good
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9
EujgoovDC 5V Voice Recognition Module Speech Recognition Chip Custom Wake Word Voice Control Module HLK-V20
Main highlights- Versatile: Great for adding sound effects to , photo frames and displays.
- Support calculation: support up to 1024 points of FFT IFFT complex calculation or 2048 points of real FFT IFFT calculation.
- High-quality materials: 32bit RISC core, 240M operating frequency, support for DSP instruction set and FPU floating point arithmetic unit.
- DIY gifts: very suitable for making gifts, cards and handicrafts in your own speech.
- Applicable scenarios: Used in smart homes, all kinds of smart home appliances, 86 boxes, toys, lamps, industry, internet of things, cars, security and lighting, and other products that require voice control.
8.5Good
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10
LewanSoulAI Voice Sensor Module Voice Broadcasting Command Recognition Custom Wake Words Programmable Robot Sound Sensor Offline Speak Control for Arduino/RaspberryPi/ESP32/Jetson Development, WonderEcho
Main highlights- Wide Compatibility: WonderEcho AI voice module's Type-C and I2C interfaces make it fully compatible with Arduino, Raspberry Pi, STM32, ESP32, Jetson, microbit, Scratch, and ROS, enabling integration into a variety of development environments.
- Must-Have AI Voice Sensor Module for Robot Building! Equip robot with WonderEcho AI voice module, enabling it to hear your voice, execute your commands, and achieve voice control functions! Combined with a vision module, it can realize voice and visual interaction, enhancing the fun and practicality of robot-smart AI interaction. WonderEcho is a must-have sensor module for every robot enthusiast when building a robot!
- High-Precision Voice Recognition and Broadcasting: WonderEcho AI voice module seamlessly integrates voice recognition and broadcasting functions, achieving a recognition accuracy of up to 98%. It supports both English & Chinese keywords, offering robust capabilities for intelligent voice applications.
- Extensive Voice Interaction Library: Preloaded with over 100 voice interaction commands, the module comes with comprehensive user guides and online tutorials, allowing users to integrate voice functionality and reduce development time easily.
- Advanced Neural Network Processor: Powered by a neural network processor, WonderEcho AI voice module supports convolutional neural network (CNN) operations, greatly improving both the speed and accuracy of voice recognition.
8.2Good
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