Emotion-Based Music Player for Companion Robots

• Main Authors: Carlos Cervantes, 史威德
• Other Authors: Song, Kai-Tai
• Format: Others
• Language: en_US
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/35413352211575243353

碩士 === 國立交通大學 === 電機資訊國際學位學程 === 100 === Currently resource constrained and inexpensive embedded systems have become virtually an ubiquitous technology. The way in that people interact with this technology can be improved by using emotional information from the user. In this work, a novel human-machine interaction system is proposed where emotional recognition from the speech signal is used to create an emotion aware music player that can be implemented on a standard smartphone-like embedded platform. Since a person’s emotion cannot always be classified in a certain number of categories such as happy or angry, the proposed system maps an inputted short speech utterance to a two dimensional emotional plane of valence and arousal, where any given emotions can have continuous values. This strategy allows the system to automatically select a piece of music from a database of songs, in which emotions are also expressed using arousal and valences values. Furthermore, a cheer-up strategy is proposed where in case the detected emotional content is detected as negative, music songs with varying emotional content are played in order to cheer-up the user to a more neutral –happy state. The system has been implemented in a popular inexpensive embedded platform Beagleboard XM which uses an electret microphone and a touch screen panel as input from the user. The proposed system can be used in human-machine interface applications like companion robots, car sound systems and communication devices like cellphones, where music can be played according to user’s emotional state.