Learning to Infer Public Emotions from Large-Scale Networked Voice Data


Emotions are increasingly and controversially central to our public life. Compared to text or image data, voice is the most natural and direct way to express ones’ emotions in real-time. With the increasing adoption of smart phone voice dialogue applications (e.g., Siri and Sogou Voice Assistant), the large-scale networked voice data can help us better… (More)
DOI: 10.1007/978-3-319-04114-8_28


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