https://github.com/tanujakoppolu/tanujakoppolu-voice-emotion-detector

HCL-SATHYABAMA-MINI-PROJECT
https://github.com/tanujakoppolu/tanujakoppolu-voice-emotion-detector

deep-learning emotion-detection kaggle keras lstm-neural-network python-library python3

Last synced: 15 days ago
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HCL-SATHYABAMA-MINI-PROJECT

• Host: GitHub
• URL: https://github.com/tanujakoppolu/tanujakoppolu-voice-emotion-detector
• Owner: Tanujakoppolu
• Created: 2024-09-06T15:28:46.000Z (2 months ago)
• Default Branch: main
• Last Pushed: 2024-10-22T08:30:24.000Z (17 days ago)
• Last Synced: 2024-10-23T11:10:47.222Z (16 days ago)
• Topics: deep-learning, emotion-detection, kaggle, keras, lstm-neural-network, python-library, python3
• Language: Jupyter Notebook
• Homepage:
• Size: 76.1 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        

VOICE EMOTION DETECTOR (MINI PROJECT)

This project aims to develop a voice emotion detection system that can accurately classify emotions in speech using deep learning techniques. The model is trained on a dataset containing various emotional speech samples, enabling it to recognize emotions such as happiness, sadness, anger, fear, disgust, neutral, and surprise.

DATASET(TESS) - Toronto emotional speech set (TESS)

A dataset for training emotion (7 cardinal emotions) classification in audio

   There are a set of 200 target words were spoken in the carrier phrase "Say the word _' by two actresses (aged 26 and 64 years) and recordings were made of the set portraying each of seven emotions (anger, disgust, fear, happiness, pleasant surprise, sadness, and neutral). There are 2800 data points (audio files) in total.

The dataset is organised such that each of the two female actor and their emotions are contain within its own folder. And within that, all 200 target words audio file can be found. The format of the audio file is a WAV format