17-05-2016, 12:22 PM
Speech emotion recognition is one of the latest challenges in speech processing. Besides human facial expressions speech has proven as one of the most promising modalities for the automatic recognition of human emotions.
We have developed a fast and optimized algorithm for speech emotion recognition based on Neural Networks. We have tested code on Polish Emotional Speech. Database of Polish Emotional Speech comprises 240 recordings from 8 actors (4 females and 4 males). Recordings for every speaker were made during a single session. Each speaker utters five different sentences with six types of emotional load: joy, boredom, fear, anger, sadness and neutral ("no emotion").
We have developed a fast and optimized algorithm for speech emotion recognition based on Neural Networks. We have tested code on Polish Emotional Speech. Database of Polish Emotional Speech comprises 240 recordings from 8 actors (4 females and 4 males). Recordings for every speaker were made during a single session. Each speaker utters five different sentences with six types of emotional load: joy, boredom, fear, anger, sadness and neutral ("no emotion").
