Emotional Speech Recognition Project

Project Title: AI System for Speaker Identification and Emotion Recognition from Voice

Project Description:

I need a Python-based system that takes an audio file (or a live recording) and determines two things:

Speaker identity (who is speaking).

Emotional state (happy, sad, angry, neutral, etc.).

Required Work:

Prepare and clean the audio data, then extract features (MFCC / Mel-spectrogram).

Train a deep learning model (CNN / LSTM / Wav2Vec2).

Evaluate accuracy (accuracy, F1-score).

Build a simple interface to upload audio and display the result with a confidence score.

Deliverables:

Full source code with documentation, the trained model, a working interface, and a results report.

Tools: Python, Librosa, PyTorch or TensorFlow, Streamlit or Flask.

If you need it shorter for a character limit, tell me and I’ll trim it.