Speech Emotion Analyzer Model

This is a Keras model trained for speech emotion recognition.

Model Details

The model is a Convolutional Neural Network (CNN) trained on audio features (Mel Spectrograms) to classify speech into the following emotion categories:

angry, disgust, fear, happy, neutral, sad, surprise

Usage

To use this model, you can load it using TensorFlow/Keras:

import tensorflow as tf
from huggingface_hub import hf_hub_download

repo_id = "RayyanAhmed9477/speech-emotion-analyzer"
filename = "cnn_emotion_model.keras" 

# Download the model file
model_path = hf_hub_download(repo_id=repo_id, filename=filename)

# Load the model
model = tf.keras.models.load_model(model_path)

# Now you can use the model for prediction
# (You'll need to implement feature extraction similar to the original app)

Features

Data loading and preprocessing using the RAVDESS dataset
Feature extraction using librosa (MFCCs and spectrograms)
Neural network models (CNN) implemented with TensorFlow/Keras
Model training with early stopping and comprehensive evaluation metrics
Hyperparameter optimization