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Seeed Studio

Seeed studio Grove - Offline Voice Recognition Module

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392+ bought in past month
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Seeed Studio SBC for everyday users

The Seeed studio Grove - Offline Voice Recognition Module by Seeed Studio is a mid-range seeed studio sbc designed for everyday users. It features Supply Voltage: 3.6-5 and SPI Flash: 2 MB. Customers praise its great value for money.

great value for money
₹2,494
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Total: ₹2,494
Buying tip: A well-rounded choice at a fair price. Recommended for most buyers.
Estimated delivery: 17 Aug31 Aug
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Quick Specs

Supply Voltage: 3.6-5
SPI Flash: 2 MB
Support interface: UART/I2C/PWM/SPI/GPIO
Storage Capacity: -40°C~125°C, <90%RH
Operating Temperature (°C): -40 ~ 85
Dimensions (L x W x H) mm: 40x20x10

Ideal For

Everyday convenience
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SKU: robu-1946631Category: Seeed Studio SBC

About This Product

The Seeed studio Grove - Offline Voice Recognition Module by Seeed Studio is a mid-range seeed studio sbc designed for everyday users. Customers highlight its great value for money.

Key Specifications

  • Supply Voltage: 3.6-5 — works with standard household power
  • SPI Flash: 2 MB
  • Support interface: UART/I2C/PWM/SPI/GPIO — compatible with modern devices
  • Storage Capacity: -40°C~125°C, <90%RH — plenty of room for files, apps, and media
  • Operating Temperature (°C): -40 ~ 85
  • Dimensions (L x W x H) mm: 40x20x10
  • Shipping Weight: 0.032 kg
  • Shipping Dimensions: 12 × 9 × 3 cm

Why Buy from Pricio?

Pricio sources this product directly, cutting out multiple middlemen. Every order includes free shipping, a 15-day return policy, and secure payment via Razorpay.

The Seeed Studio Grove - Offline Voice Recognition Module is a compact and versatile device designed for integrating voice control into various electronic projects. This module utilizes advanced algorithms to recognize a wide range of spoken commands, enabling users to interact with their projects without requiring an internet connection. With its offline functionality, the Grove module ensures privacy and reliability, making it suitable for applications where data security is paramount. Its Grove interface allows for easy integration with a variety of microcontrollers and development boards, simplifying the prototyping process for hobbyists and professionals alike. Equipped with a built-in microphone and onboard processing capabilities, the Grove - Offline Voice Recognition Module offers real-time voice recognition without the need for external processing units. Users can train the module to recognize specific keywords or phrases, enabling custom voice commands tailored to their applications. Additionally, the module supports multiple language models, making it accessible to users worldwide. Whether used in home automation, robotics, or interactive installations, the Seeed Studio Grove - Offline Voice Recognition Module provides a convenient and intuitive way to incorporate voice control into electronic projects, enhancing their functionality and user experience.

Features:

  1. Offers a user-friendly interface for easy setup and configuration, making it accessible to users with varying levels of technical expertise.
  2. Supports multiple trigger modes, including keyword spotting and continuous listening, providing flexibility for different use cases.
  3. Allows users to define and customize voice commands based on their specific requirements, enabling tailored interactions.
  4.  Utilizes advanced algorithms for accurate voice recognition, minimizing false positives and improving overall performance.
  5. Compact and lightweight design, suitable for integration into various projects and applications with limited space.
  6. Compatible with a range of microcontrollers and development platforms, such as Arduino, Raspberry Pi, and others, enhancing its versatility.
  7. Optimized for low power consumption, making it suitable for battery-powered applications and extending operational longevity.
  8. Provides real-time response to voice commands, enabling interactive applications with minimal latency.
  9. Engineered for robust performance in diverse environments, including noisy conditions, ensuring reliable operation in challenging scenarios.
  10. Offers firmware updates for continuous improvements and added features, ensuring long-term usability and compatibility.

 Application:

  1. Home automation
  2. In-car systems
  3. Industrial control, Medical devices
  4. Consumer electronics
  5. IoT devices

Package Include:

1 x  Seeed studio Grove - Offline Voice Recognition Module

Setup Guide

1
Identify the pins
Locate VCC (power), GND (ground), and data pins (SDA/SCL for I2C, MOSI/MISO for SPI, or TX/RX for UART). Refer to the pinout diagram on the product page.
2
Wire to your microcontroller
Connect VCC to 3.3V or 5V (check the module spec), GND to GND, and data pins to the appropriate GPIO pins on your Arduino or Raspberry Pi.
3
Install libraries
In Arduino IDE, go to Sketch → Include Library → Manage Libraries and search for the sensor library. Install the recommended version.
4
Upload example sketch
Open File → Examples → [library name] → Basic Example. Upload to your board and open Serial Monitor to view output.
5
Calibrate if needed
Some sensors (temperature, humidity, distance) may need a short warm-up period or calibration. Run the calibration sketch if provided.