Identifying Voice Commands With Voice recognition Network Using AI

Project Code :TMMAAI202

Objective

In this work, a pre-trained voice recognition network is used to detect the voice commands in real-time using microphone

Abstract

The main objective of this work is to recognize voice commands with pre-trained deep learning network with the help of streaming audio microphone. Some of the pre-trained commands are “yes, no, up, down, left, right, on, off, stop & go”. 

The noise or any live disturbances will be automatically removed and unknown commands are recognized as “unknown”. There has been a significant amount of study into the use of machine learning for speech processing applications, particularly voice recognition, over the last few decades. 

In recent years, however, research has centered on using deep learning for speech-related applications. This new branch of machine learning has outperformed others in a variety of applications, including voice, and has thus become a particularly appealing research subject.

Keywords: Speech recognition, Deep learning, Machine Learning, Command recognition.

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Block Diagram

Specifications

Software: Matlab 2020a or above

Hardware:

Operating Systems:

  • Windows 10
  • Windows 7 Service Pack 1
  • Windows Server 2019
  • Windows Server 2016

Processors:

Minimum: Any Intel or AMD x86-64 processor

Recommended: Any Intel or AMD x86-64 processor with four logical cores and AVX2 instruction set support

Disk:

Minimum: 2.9 GB of HDD space for MATLAB only, 5-8 GB for a typical installation

Recommended: An SSD is recommended A full installation of all MathWorks products may take up to 29 GB of disk space

RAM:

Minimum: 4 GB

Recommended: 8 GB

Learning Outcomes

  • Introduction to Matlab
  • What is EISPACK & LINPACK
  • How to start with MATLAB
  • About Matlab language
  • Matlab coding skills
  • About tools & libraries
  • Application Program Interface in Matlab
  • About Matlab desktop
  • How to use Matlab editor to create M-Files
  • Features of Matlab
  • Basics on Matlab
  • What is an Image/pixel?
  • About image formats
  • Introduction to Image Processing
  • How digital image is formed
  • Importing the image via image acquisition tools
  • Analyzing and manipulation of image.
  • Phases of image processing:
    • Acquisition
    • Image enhancement
    • Image restoration
    • Color image processing
    •  Image compression
    •  Morphological processing
    • Segmentation etc.,
  • How to extend our work to another real time applications
  • Project development Skills
    • Problem analyzing skills
    • Problem solving skills
    • Creativity and imaginary skills
    • Programming skills
    • Deployment
    • Testing skills
    • Debugging skills
    • Project presentation skills
    • Thesis writing skills

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