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This paper presents the first large-scale automatic voice casting system, and explores the adaptation of speaker recognition techniques to measure voice similarities. The proposed system is based on the representation of a voice by classes (e.g., age/gender, voice quality, emotion). First, a multi-label system is used to classify speech into classes. Then, the output probabilities for each class are concatenated to form a vector that represents the vocal signature of a speech recording.doi:10.1109/icassp.2014.6853737 dblp:conf/icassp/ObinRB14 fatcat:wz3ydfi2dvhpfb4rkobxf33bi4