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A new integrated model for simultaneous modeling of linguistic and acoustic models, and a training algorithm is proposed. Usually, text-to-speech (TTS) systems based on the hidden Markov model (HMM) consist of text analysis and speech synthesis modules. Linguistic and acoustic model training are performed independently using different training data sets. Integrated model parameters were simultaneously optimized by the proposed training algorithm. The derived algorithm optimizes two modeldoi:10.1109/chinsl.2008.ecp.12 dblp:conf/iscslp/OuraNTTMSN08 fatcat:yd5tkhioefanxokl7pr7d4br6i