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Intel oneAPI - NLP Based Emotion Recognition Using Text & Audio

Gopalakrishnan D

Gopalakrishnan D

Tamil Nadu

2 0
  • 0 Collaborators

Intel oneAPI Based Emotion Recognition�using NLP (Audio & Text) Human-Computer interactions are make it mandatory to get accuracy communications, like both human. If computer identify means we will get clever interaction so NLP based recognition gives better accuracy. ...learn more

Project status: Published/In Market

oneAPI, Artificial Intelligence

Groups
Intel Out of the Box Network Developers group, Student Developers for AI, Artificial Intelligence India, oneAPI Showcase, Student Developers for oneAPI, DeepLearning

Intel Technologies
oneAPI, Intel Deep Link, AI DevCloud / Xeon, Intel Opt ML/DL Framework

Code Samples [1]Links [2]

Overview / Usage

Human-Computer interactions are make it mandatory to get accuracy communications, like both human. If computer identify means we will get clever interaction
We might be on the verge of too many screens. It seems like everyday, new versions of common objects are “re-invented” with built-in Wi-Fi and bright touchscreens. A promising antidote to our screen addiction are voice interfaces.

Problem Statement

Recently, deep learning algorithms have successfully addressed problems in various fields.

Emotion Recognition side it's not work properly because the previous model based on the Facial Emotion Recognition that model gives only the less accuracy output.

Solution

If we solve that problems it's only one way is availabe that is Natural Language Processing based Emotion Recognition using Audio and Text input signals.

The presence of various languages, accents, sentences, speaking styles, and speakers also adds another difficulty because these characteristics directly change most of the extracted features, including pitch and energy.

So, we introduced the NLP using Audio and Text.

Methodology / Approach

I used here NLTK for processing the data and Count Vectorizer and then developed the TensorFlow model.

Finally, I deployed the model using the Streamlit Framework.

Technologies Used

Jupyter Lab ( Intel oneAPI 2023 ) kernal

TensorFlow

Keras

Streamlit

NLTK

Pickle

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Repository

https://github.com/Er-AI-GK/Intel-oneAPI-Speech_Emotion_Recognition_using_NLP_Audio_Text.git

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