Welcome to My Blog

Emotion Recognition From Human Voice Supported by Text

This project aims to detect human emotions using both voice and text. By combining acoustic features (such as tone and pitch) with the transcribed content of speech, a multimodal AI model identifies emotional states more accurately. Models like CNN, LSTM, and BERT were used. Results show that combining audio and text inputs significantly improves emotion recognition performance.