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10 Best Voice Recognitions - Holiday Sale
Best Choice01ArduinoArduino Nicla Voice [ABX00061] � Official Arduino Pro Board with 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.
9.9Exceptional
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Value for Money02LuxtechProSpeech Recognition Module ELECHOUSE Voice Recognition V3 Interface 5V TTL Level UART/GPIO
Main highlights- We already know that Voice Recognition module V2 supports 15 commands in all and only 5 commands at the same time. On V2, voice commands are separated into 3 groups while you training it. And only one group (5 commands) could to be imported into Recognizer. It means only 5 voice commands are effective at the same time. 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.
- This module is a compact and easy-control speaking recognition board. It is a speaker-dependent voice recognition module. It supports up to 80 voice commands in all. Max 7 voice commands could work at the same time. Any sound could be trained as command. Users need to train the module first before let it recognizing any voice command.
- Parameters: Voltage: 4.5-5.5V, Current: <40mA, Digital Interface: 5V TTL level for UART interface and GPIO, Analog Interface: 3.5mm mono-channel microphone connector + microphone pin interface. Size: 31mm x 50mm. Recognition accuracy: 99% (under ideal environment).
- It 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.
- Features: Support maximum 80 voice commands, with each voice 1500ms (one or two words speaking). Maximum 7 voice commands effective at same time. Arduino library is supplied. Easy Control: UART/GPIO. User-control General Pin Output.
9.8Exceptional
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- 03DFRobot
Gravity: 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.
9.6Exceptional
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- 04Comidox
Comidox 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
9.5Excellent
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- 05Hilitand
AI Voice Recognition Module, Intelligent Voice Recognition Module Offline Speak Control Development Board with Micro USB Interface for Various Peripherals
Main highlights- [Universal io ports] All IO ports of the voice module are integrated into the development board, allowing easy insertion into a breadboard.
- [Multiple usages] Quickly learn and verify offline voice control for various peripherals, including relays, LED lights, and PWM dimming.
- [Multiple functions] Customize startup broadcast voice, set keywords and wake-up words, configure reply language, and enable serial port output.
- [Low power consumption] The offline voice recognition development board offers low power consumption and ensures
- [Excellent parts] Equipped with components, this development board features a Micro USB interface, CH340NUSB to serial chip, high sensitivity microphone, 8Ω 1W speaker, and toggle switch.
9.4Excellent
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- 06Reland Sun
Speak Recognition Voice Recognition Module V3 Easy Control
Main highlights- Speak Recognition Voice Recognition Module V3 Easy Control
9.1Excellent
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- 07Yahboom
Yahboom 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.
9.0Excellent
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- 08fosa
Fosa 4 Minutes DIY Greeting Card Chip Music Sound Voice Recording Module Device Chip Recordable Sound Chip for Christmas Cards, Holiday Creative Gift Boxes, Jewelry Boxes, Crafts, Children's Toys
Free ShippingMain highlights- Widely used Can be used for Christmas cards, creative gift boxes, jewelry boxes, crafts, children's toys, etc.
- Control the voice movement with button induction. The cable length is designed for your convenience. Selectable play mode Loop play/one time play. The recording can be repeated, and each recording will overwrite the last recording.
- 3 button battery powered, 8Ω 0.25W green speaker with loud sound.
8.8Very Good
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- 09COVVY
COVVY Digital Voice Recorder, 8 GB Audio Recorder, Digital Voice Recorder with Voice Recognition for Interview, Lecturing, Teaching, Meeting and Lectures
Free ShippingMain highlights- Wide range of applications: It is a great recording device for recording lectures, meetings, business negotiations, doctor's advice, evidence collecting ,interviews, discreet & covert spy recording etc.
- Multiple functions: Rechargeable mini digital voice recorder and MP3 player, telephone conversation recorder, USB storage flash disk supporting WMA, ASF and WAV formats.
- Fashionable & Durable: Distinctive exterior design and strong, Built-in Lithium battery, rechargeable, environment friendly which makes this voice recorder fashionable, durable and sweat proof, even as a perfect gift for students, writers, professionals and any those who need it!
- Easy to use worry free: The hand-held voice recorder is tiny and fit into almost any pockets and it is easy to switch between a digital voice recorder and an MP3 player. Very easy to use menu interface.
- 8GB of internal memory: Let’s you store up to 30 hours of continuous recording (battery full load). Use as 8GB Flash Drive or USB Voice Recorder to store all your music, data and of course, all your recordings. Your audio files will be stored as WAV files on the device for easy playback via any media player.
8.6Very Good
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- 10LewanSoul
AI 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.
8.3Good
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