Program code for Combining “Text to Speech” and “Object Recognition” Using Deep Learning Tool (Alexnet) in MatLab

1. Aim: Combining “Text to Speech” and “Object Recognition” Using Deep
Learning Tool(Alexnet) in MatLab
Program:
Text to Speech:
UserPrompt = 'Enter your Text';
TitleBar = 'TEXT TO SPEECH';
String = 'MATLAB is Best!';
UserInput = inputdlg(UserPrompt,TitleBar,1,{String});
if isempty(UserInput)
return;
end
UserInput = char(UserInput);
NET.addAssembly('System.Speech');
obj = System.Speech.Synthesis.SpeechSynthesizer;
obj.Volume = 100;
Speak(obj, UserInput);
OBJECT RECOGNTION:
neural_Network = alexnet;
load_Image = imread('butterfly.jpg');
candidate_Image = imresize(load_Image,[227,227]);
label = classify(neural_Network, candidate_Image);
image(candidate_Image);
title(char(label));
object_Name = char(label);
NET.addAssembly('System.Speech');
objt = System.Speech.Synthesis.SpeechSynthesizer;
objt.Volume = 100;
Speak(objt, object_Name);

2. OBJECT DETECTED:
COMBINING THE TWO PROGRAMS IN ONE:
clc;
close all;
clear all;
UserPrompt = 'Enter your Text';
TitleBar = 'TEXT TO SPEECH';
String = '.jpg';
UserInput = inputdlg(UserPrompt,TitleBar,1,{String});
if isempty(UserInput)
return;
end
UserInput = char(UserInput);
NET.addAssembly('System.Speech');
obj = System.Speech.Synthesis.SpeechSynthesizer;
obj.Volume = 100;
Speak(obj, UserInput);
neural_Network = alexnet;
load_Image = imread (UserInput);
candidate_Image = imresize(load_Image,[227,227]);
label = classify(neural_Network, candidate_Image);
image(candidate_Image);
title(char(label));
object_Name = char(label);

3. OUTPUT OF COMBINED PROGRAM: