Statistical parametric speech synthesis based on gaussian process regression

IEEE Journal on Selected Topics in Signal Processing

Volumn 8, Issue 2, 2014, Pages 173-183

  Koriyama, Tomoki ^a   Nose, Takashi ^a   Kobayashi, Takao ^a  

^a TOKYO INSTITUTE OF TECHNOLOGY   (Japan)

Author keywords

Gaussian process regression; nonparametric Bayesian model; partially independent conditional (PIC) approximation; sparse Gaussian processes; statistical speech synthesis

Indexed keywords

ARTICULATORY INFORMATIONS; GAUSSIAN PROCESS REGRESSION; LINGUISTIC INFORMATION; MINIMUM GENERATION ERRORS; NON-PARAMETRIC BAYESIAN MODELING; PARTIALLY INDEPENDENT CONDITIONAL (PIC) APPROXIMATION; SPARSE GAUSSIAN PROCESS; STATISTICAL PARAMETRIC SPEECH SYNTHESIS;

BAYESIAN NETWORKS; GAUSSIAN NOISE (ELECTRONIC); HIDDEN MARKOV MODELS; REGRESSION ANALYSIS; SPEECH SYNTHESIS; TELEPHONE SETS;

GAUSSIAN DISTRIBUTION;

EID: 84897902941     PISSN: 19324553     EISSN: None     Source Type: Journal    
DOI: 10.1109/JSTSP.2013.2283461     Document Type: Article

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