PictoBlox Extensions
  1. Scratch Based Default Extensions
    1. Motion
    2. Looks
    3. Sound
    4. Control
    5. Events
    6. Sensing
    7. Operators
    8. My Blocks
    9. Variables
  2. Artificial Intelligence
    1. Face Detection
    2. Object Detection
    3. Human Body Detection
    4. Computer Vision
    5. Text Recognition
    6. Speech Recognition
    7. ChatGPT
    8. Natural Language Processing
    9. Recognition Cards
    10. Text to Speech
    11. Translate
    12. Open CV
  3. Innovative Extensions
    1. QR Code Scanner
    2. Weather Data
    3. Physics Engine
    4. IFTTT Webhooks
    5. Internet of Things (IoT)
    6. Data Logger
    7. Music
    8. Video Sensing
    9. Pen
  4. Machine Learning Environment
    1. Image Classifier (ML)
    2. Object Detection (ML)
    3. Pose Classifier (ML)
    4. Hand Pose Classifier (ML)
    5. Audio Classifier (ML)
    6. Number Classifier and Regression (ML)
    7. Text Classifier (ML)
  5. Quarky
    1. Quarky (Main)
    2. Display (Quarky)
    3. Robot (Quarky)
    4. Sensors (Quarky)
    5. Speaker (Quarky)
    6. Quarky Ultimate Robots
    7. Quarky Expansion Board
    8. Mars Rover
    9. Humanoid (Quarky)
    10. Quadruped (Quarky)
    11. IoT House (Quarky)
    12. Quarky Mecanum
    13. Quarky Robotic Arm
    14. Dabble
    15. Quarky Advance Line Following
PictoBlox Extension

Audio Classifier (ML)

Audio classifier icon
Extension Description
Create ML models to classify audio into different classes.
  • STEMpedia-Rocket-800x800 Available in: Block Coding, Python Coding
  • STEMpedia-Rocket-800x800 Mode: Stage Mode
  • STEMpedia-Rocket-800x800 WiFi Required: No
  • STEMpedia-Rocket-800x800 Compatible Hardware in Block Coding: evive, Quarky, Arduino Uno, Arduino Mega, Arduino Nano, ESP32, T-Watch, Boffin, micro:bit, TECbits, LEGO EV3, LEGO Boost, LEGO WeDo 2.0, Go DFA, None
  • STEMpedia-Rocket-800x800 Compatible Hardware in Python: Quarky, None
  • STEMpedia-Rocket-800x800 Object Declaration in Python: Not Applicable
  • STEMpedia-Rocket-800x800 Extension Catergory:

Introduction

PictoBlox Blocks

The block opens the recognition window and shows the machine learning analysis on the audio feed. Very good for visualization of the model in PictoBlox.
The block checks if the currently recognized class from the recognition window is the selected class or not.
The block reports the recognized class from the recognition window.
The block reports the specified class confidence value of the selected class. 0 is low confidence and 1 is high confidence.
Scripts that wear this block will activate once the selected class is predicted either on the recognition window.
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Block Coding Examples

Bird Audio Classifier Bot in Block Coding

The example shows how to use a audio classifier in PictoBlox to make the Bird Audio Classifier Bot.

Sound Based Humanoid with Machine Learning

Learn how to create custom sounds to control Humanoid with the Audio Classifier of the Machine Learning Environment in PictoBlox.

Sound Based Mars Rover Control Using Machine Learning Environment

Learn how to create custom sounds to control Mars Rover with the Audio Classifier of the Machine Learning Environment in PictoBlox. Start building your Sound Based Controlled Mars Rover now!
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