[Project Addition] Speech Sentiment Analysis using DL

[Arihant-Bhandari]

Pull Request for DL-Simplified 💡

Issue Title : #704 [Project Addition] Speech Sentiment Analysis using DL

• Info about the related issue (Aim of the project) : Classifying speech into its intonation of being Positive, Negative or Neutral.
• Name: Arihant Bhandari
• GitHub ID: https://github.com/Arihant-Bhandari
• Email ID: arihant.bhandari.2004@gmail.com
• Idenitfy yourself: GSSoC 2024 Contributor

Closes: #704 [Project Addition] Speech Sentiment Analysis using DL

Describe the add-ons or changes you've made 📃

Wrote code for preprocessing and loading images from train_images, indiced emotions from dataframe, ecoded and turned labels into probability distributions, created models including custom as well as pre-trained models, like ResNet-50, VGG16 and so on.

Type of change ☑️

What sort of change have you made:

• Bug fix (non-breaking change which fixes an issue)
• New feature (non-breaking change which adds functionality)
• Code style update (formatting, local variables)
• Breaking change (fix or feature that would cause existing functionality to not work as expected)
• This change requires a documentation update

How Has This Been Tested? ⚙️

Models	Accuracy	Loss
ResNet-50	48.00%	1.0630
InceptionV3	84.00%	0.4533
CNN	94.00%	0.2254
VGG16	90.00%	0.3243
EfficientNetB7	42.00%	1.0812
DenseNet-121	82.00%	0.7257
Xception	86.00%	0.5171

Checklist: ☑️

• My code follows the guidelines of this project.
• I have performed a self-review of my own code.
• I have commented my code, particularly wherever it was hard to understand.
• I have made corresponding changes to the documentation.
• My changes generate no new warnings.
• I have added things that prove my fix is effective or that my feature works.
• Any dependent changes have been merged and published in downstream modules.

[github-actions]

Our team will soon review your PR. Thanks @Arihant-Bhandari :)

[Arihant-Bhandari]

hi @abhisheks008 pls check this pr, if any changes, will be glad to do them over.

thank you as always for your time and patience.

[abhisheks008]

Approved @Arihant-Bhandari