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- W2298823545 abstract "We attempt to establish a communication mechanism of emotions consisting of joy, surprise, anger, sadness, fear and neutral. Using techniques of speech recognition, the emotional changes in speech can be analyzed and further applied to online games or Internet speech communication. Through proper voice communication, players may get to engage with each other for exchanging game strategies via real-time conversation. Research findings indicate that the inside test recognition rates can reach over 70%, while the outside test recognition rates are not satisfactory, restricted by the facts that there are a plurality of emotions and that the number of test participants is usually too large for efficient treatment. The characteristic vector of the recognition rate of emotions varies significantly over various emotions. However, it is shown in this study that the emulation of voice emotions is generally not precise, whereas the emotion recognition is still valid for communications in game interactions." @default.
- W2298823545 created "2016-06-24" @default.
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- W2298823545 date "2011-03-01" @default.
- W2298823545 modified "2023-09-23" @default.
- W2298823545 title "Recognizing Emotions in Speeches for Mandarin-Chinese-Speakers Game Player Users" @default.
- W2298823545 doi "https://doi.org/10.29746/ijki.201103.0003" @default.
- W2298823545 hasPublicationYear "2011" @default.
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