Grove - Speech Recognizer
Sold outThe Grove speech recognizer is a module designed for application in the smart home, toy, robot or anything you would like to control with voice commands.
Overview
The board includes a Nuvoton ISD9160, a microphone, 1 SPI flash, 1 grove connector, 1 speaker connector and 1 led to show to your voice activity.
Nuvoton ISD9160 is (SoC) Chipcorder that based on Cortex™-M0, it provides performance and the energy efficiency needed for voice control applications. The microphone on grove-speech recognizer is Omni-directional.
This speech recognizer can recognize 22 commands including ‘start’, ‘stop’ and ‘Play music’. Every time it recognizes a command, it will return a value and the connected loudspeaker will repeat the command. This value can be used to control other devices like a motor or music player.
Note: The wake up word is “Hicell” (Pronounce it as one word). When it recognizes the awaken word the LED turns red and you can say the command word. If it recognize the command word, the LED will turn blue.
Note: The firmware of the module was wrote by the third party vendor, it’s not open source.
Application Ideas:
- Internet of Things
- Smart House
- Human Machine Interface
- Lighting Control
- Sensor Hub
- Robot
Features:
- Local Voice Recognition
- Very low rate of false triggering
- Speaker connector(JST2.0, speaker is not include)
- Built-in microphone
- 3.3/5V working voltage
- 22 recognition entry
- Default Baudrate: 9600
Tech specs
Specification
|
Item |
Min |
Typ |
Max |
Condition |
|
Operating Voltage |
3V |
3.3V |
5V |
25 ℃ |
|
Operating Current |
25mA |
26.5mA |
80mA@playing |
VCC = 3.3V 25℃ |
|
Operating Current |
25mA |
26.5mA |
130mA@playing |
VCC = 5V 25℃ |
|
Operating Temperature |
0℃ |
25℃ |
85℃ |
|
|
Size |
40*20mm |
|||
|
Weigth |
5g |
|||
|
Flash |
2Mbytes |
|||
|
Microphone Sensitivity |
-43dB |
-40dB |
-37dB |
VCC = 5V 25℃ |
|
Microphone SNR |
58dB |
|||
|
Microphone Directivity |
Omni-directional |
|||
|
Speaker Power |
1W |
VCC = 5V 25℃ |
||
|
Processor core |
Cortex-M0 |
|||
|
Processor Frequency |
32.768MHz |
50MHz |
VCC = 5V 25℃ |
Get Inspired
A quick tutorial on how to interface the voice recognition module with few examples.
For people not familiar with American Sign Language (ASL), being able to recognize what certain hand motions and positions mean is a nearly impossible task. To make this process easier, Hackster.io user ayooluwa98 came up with the idea to integrate various motion, resistive, and touch sensors into a single glove that could convert these signals into understandable text and speech. The system is based around a single Arduino Nano board, which is responsible for taking in sensor data and outputting the phrase that best matches the inputs. The orientation of the hand is ascertained by reading values from the X, Y, and Z axes of a single accelerometer and applying a small change based upon prior calibration. Meanwhile, resistive flex sensors spanning the length of each finger produce a different voltage level according to the bend’s extent. At each iteration of the program’s main loop, a series of Boolean statements are evaluated to pick the phrase that best matches the current finger bends and hand orientation, and this data is then outputted via the UART pins to an attached Bluetooth® HC-05 module. The final component is a connected phone running a custom app that takes the incoming words from Bluetooth® and saves them for text-to-speech output when the button is pressed. To see more about this project, you can read ayooluwa98’s write-up here on Hackster.io.
