About this document
Speech Emotion Recognition with LSTM by mskpwebcraft is a document available to read on EtoBox.
The document discusses the development of a Speech Emotion Recognition (SER) system using deep learning techniques, specifically LSTM models, to accurately identify human emotions from speech signals. The system achieved high accuracy rates, with testing accuracy around 89.5%, and demonstrated effective real-time performance, making it suitable for applications in human-computer interaction. Future research directions include multimodal recognition, cross-lingual models, and addressing ethical concerns rela
- Author
- mskpwebcraft
- Language
- EN