Gravity: Offline Language Learning Voice Recognition Sensor - I2C & UART - DFRobot SEN0539-EN

Index: DFR-23332 EAN: 6959420923342
The voice recognition module - Gravity Offline Language Learning Voice Recognition Sensor - allows you to recognize 121 voice commands saved in memory, as well as expand it with 17 of your own sounds, including clapping, whistling and even animal sounds. The sensor works without an Internet connection, which significantly simplifies its use. It communicates with the microcontroller via I2C or UART . It supports platforms such as Arduino , Raspberry Pi, FireBeetle and others. It has a built-in microphone and speaker.
Gravity: Offline Language Learning Voice Recognition Sensor - I2C & UART - DFRobot SEN0539-EN
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Manufacturer: DFRobot

Product description: Gravity - Offline voice recognition module - I2C, UART - Arduino compatible - DFRobot SEN0539-EN

The voice recognition module - Gravity Offline Language Learning Voice Recognition Sensor - allows you to recognize 121 voice commands saved in memory , as well as expand it with 17 of your own sounds, including clapping, whistling and even animal sounds. The sensor works without an Internet connection, which significantly simplifies its use. It communicates with the microcontroller via I2C or UART . It supports platforms such as Arduino , Raspberry Pi , FireBeetle and others. It has a built-in microphone and loudspeaker , as well as a connector for an external 8 Ω, 3 W loudspeaker. The sound source and communication interface are selected via a switch located on the board.

Product compatible with Arduino and Raspberry Pi!

The manufacturer provides a detailed user guide with ready-made libraries to operate the module.

Gravity - Offline voice recognition module - I2C, UART - Arduino compatible - DFRobot SEN0539-EN

The module allows you to remember 17 additional sounds.

Possibilities of using the voice recognition module

The voice recognition module from the manufacturer DFRobot allows you to control devices by voice, without the need to connect to the Internet. Potential applications for such a sensor include: Smart Home devices, toys, robots, and voice assistants. The additional functionality offered by the Gravity module may be particularly useful in these cases: the ability to remember new voice commands and wake up the device with a dedicated sequence by voice. The 17 sounds that the sensor can remember do not have to include only words and their compounds, but any sounds, such as a dog barking. Thanks to the built-in loudspeaker , our device can actively respond to the user's spoken sentences.

Technical specifications of the sensor

  • Type: voice recognition module
  • Number of saved commands: 121
  • Number of additional recognized sounds: 17
  • Commands to wake up the device: 1
  • Built-in microphone sensitivity: -28 dB
  • Built-in speaker
  • External Speaker Connector: PH2.0-2P
  • External speaker power: 3 W (8 Ω)
  • Supply voltage: from 3.3 V to 5 V
  • Current consumption: up to 370 mA
  • Communication: I2C, UART
  • Interface selection switch
  • I2C address: 0x64
  • Dimensions: 49 x 32 mm

Set contents

  • 1 x Gravity - Offline voice recognition module - I2C, UART - Arduino compatible - DFRobot SEN0539-EN
  • 1x JST PH2.0 4-pin Gravity Cable

Elements included in the set.

UC - I2C yes
UC - UART yes
Package width 6.5 cm
Package height 8 cm
Package depth 2.5 cm
Package weight 0.024 kg

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Product reviews

Gravity: Offline Language Learning Voice Recognition Sensor - I2C & UART - DFRobot SEN0539-EN

5/5

Average grade

3

Customers opinion
The following opinions are collected
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and come from the post-purchase process.
Thomas 23.08.2024 Confirmed purchase Translated review
Good quality, works perfectly. Unfortunately, a connection cable for the external speaker is missing.
wojciech 15.04.2024 Confirmed purchase Translated review
Product SENSATIONAL. Works excellently - I tested it. Probably the best speech recognition module. Great documentation and examples. Reasonable price and fast delivery. You won't buy this on Ali.. I recommend to Everyone.!
Heinz-Georg 14.06.2024 Confirmed purchase

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