Automatic Speech and Speaker Recognition: Large Margin and Kernel Methods

摘要: This book discusses large margin and kernel methods for speech speaker recognitionSpeech Speaker Recognition: Large Margin Kernel Methods is a collation of research in the recent advances methods, as applied to field recognition. It presents theoretical practical foundations these from support vector machines structured learning. also provides examples based acoustic modelling continuous recognizers, where grounds sequence learning are set. discriminative language text independent verification addressed this book.Key Features:Provides an up-to-date snapshot current state Covers important aspects extending binary machine recognition applications Discusses method algorithms prediction required modeling Reviews past present work on training models, describes different application part-of-speech tagging Surveys use approaches text-independent verification, introduces main concepts similarity matrix data will be interest researchers, practitioners, engineers, scientists processing fields.