Segregation of speakers for speech recognition and speaker identification
作者： H. Gish , M.-H. Siu , R. Rohlicek
DOI: 10.1109/ICASSP.1991.150477
关键词: Natural language processing 、 Speech processing 、 Measure (mathematics) 、 Cluster analysis 、 Speech recognition 、 Conjunction (grammar) 、 Maximum likelihood 、 Speaker identification 、 Computer science 、 Artificial intelligence
摘要: A method for segregating speech from speakers engaged in dialogs is described. The method, assuming no prior knowledge of the speakers, employs a distance measure between segments used conjunction with clustering algorithm to perform segregation. Properties are discussed, and an air traffic control application >
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