Open AccessOptimum MVF Estimation‐Based Two‐Band Excitation for HMM‐Based Speech Synthesis
Author(s) -
Han Seungho,
Jeong Sangbae,
Hahn Minsoo
Publication year - 2009
Publication title -
etri journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.295
H-Index - 46
eISSN - 2233-7326
pISSN - 1225-6463
DOI - 10.4218/etrij.09.0209.0112
Subject(s) - hidden markov model , speech recognition , distortion (music) , speech synthesis , computer science , scheme (mathematics) , excitation , artificial intelligence , engineering , mathematics , telecommunications , amplifier , mathematical analysis , bandwidth (computing) , electrical engineering
The optimum maximum voiced frequency (MVF) estimation‐based two‐band excitation for hidden Markov model‐based speech synthesis is presented. An analysis‐by‐synthesis scheme is adopted for the MVF estimation which leads to the minimum spectral distortion of synthesized speech. Experimental results show that the proposed method significantly improves synthetic speech quality.