Mood detection from daily conversational speech using denoising autoencoder and LSTM

• Published in: Proceedings of the ... IEEE International Conference on Acoustics, Speech and Signal Processing (1998) pp. 5125 - 5129
• Main Authors: Kun-Yi Huang, Chung-Hsien Wu, Ming-Hsiang Su, Hsiang-Chi Fu
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.03.2017
• Subjects: denoising autoencoder; Emotion recognition; Hidden Markov models; long short-term memory; Long-term emotion tracking; Mood; mood detection; Predictive models; Speech; Support vector machines

In current studies, an extended subjective self-report method is generally used for measuring emotions. Even though it is commonly accepted that speech emotion perceived by the listener is close to the intended emotion conveyed by the speaker, research has indicated that there still remains a mismat...