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Implementation and Evaluation of an HMM-Based Korean Speech Synthesis System
Sang-Jin KIM Jong-Jin KIM Minsoo HAHN
IEICE TRANSACTIONS on Information and Systems
Publication Date: 2006/03/01
Online ISSN: 1745-1361
Print ISSN: 0916-8532
Type of Manuscript: Special Section LETTER (Special Section on Statistical Modeling for Speech Processing)
HMM-based speech synthesis, speech synthesis, HMM, context clustering, Korean,
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Development of a hidden Markov model (HMM)-based Korean speech synthesis system and its evaluation is described. Statistical HMM models for Korean speech units are trained with the hand-labeled speech database including the contextual information about phoneme, morpheme, word phrase, utterance, and break strength. The developed system produced speech with a fairly good prosody. The synthesized speech is evaluated and compared with that of our corpus-based unit concatenating Korean text-to-speech system. The two systems were trained with the same manually labeled speech database.