I will build custom speech or emotion recognition models

About This Gig

I specialize in building multi-modal speech and emotion recognition systems by combining audio and text modalities for enhanced performance and accuracy.

With hands-on experience working on complex datasets like IEMOCAP and MELD, I have developed custom hybrid models using Bi-LSTM and CNN, achieving up to 85% accuracy on the IEMOCAP dataset. I'm also actively exploring Word2Vec and Transformer-based architectures for improved contextual understanding in speech.

You can check out my projects and research papers linked below for more details.

What I Offer:

1. Preprocessing of complex audio and text datasets
2. Custom model development (LSTM, CNN, Transformers, etc.)
3. Hyperparameter tuning and model optimization
4. Support for academic thesis, research, or industry projects
5. Integration-ready solutions for apps or APIs

Feel free to message me before placing your order to discuss your specific needs.