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Reliable accent specific unit generation with dynamic Gaussian mixture selection for multi-accent speech recognition
2011 IEEE International Conference on Multimedia and Expo
Multiple accents are often present in Mandarin speech, as most Chinese have learned Mandarin as a second language. We propose generating reliable accent specific unit together with dynamic Gaussian mixture selection for multi-accent speech recognition. Time alignment phoneme recognition is used to generate such unit and to model accent variations explicitly and accurately. Dynamic Gaussian mixture selection scheme builds a dynamical observation density for each specified frame in decoding, anddoi:10.1109/icme.2011.6011941 dblp:conf/icmcs/ZhangLXZOT11 fatcat:2xap7g4pbrgcjh6dej6zgtvwxi