Deep neural network-based statistical parametric speech synthesis system using improved time-frequency trajectory excitation model

Excitation Model

2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

High-pitched excitation generation for glottal vocoding in statistical parametric speech synthesis using a deep neural network

10.1109/icassp.2016.7472653 ◽

2016 ◽

Cited By ~ 10

Author(s):

Lauri Juvela ◽

Bajibabu Bollepalli ◽

Manu Airaksinen ◽

Paavo Alku

Keyword(s):

Neural Network ◽

Speech Synthesis ◽

Deep Neural Network ◽

Multi-class learning algorithm for deep neural network-based statistical parametric speech synthesis

2016 24th European Signal Processing Conference (EUSIPCO) ◽

10.1109/eusipco.2016.7760589 ◽

2016 ◽

Cited By ~ 1

Author(s):

Eunwoo Song ◽

Hong-Goo Kang

Keyword(s):

Neural Network ◽

Speech Synthesis ◽

Deep Neural Network ◽

Learning Algorithm ◽

2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

Improved time-frequency trajectory excitation modeling for a statistical parametric speech synthesis system

10.1109/icassp.2015.7178912 ◽

2015 ◽

Cited By ~ 6

Author(s):

Eunwoo Song ◽

Young-Sun Joo ◽

Hong-Goo Kang

Keyword(s):

Speech Synthesis ◽

Synthesis System ◽

Time Frequency ◽

An investigation of recurrent neural network architectures for statistical parametric speech synthesis

10.21437/interspeech.2015-266 ◽

2015 ◽

Author(s):

Sivanand Achanta ◽

Tejas Godambe ◽

Suryakanth V. Gangashetty

Keyword(s):

Neural Network ◽

Recurrent Neural Network ◽

Speech Synthesis ◽

Network Architectures ◽

Neural Network Architectures

Statistical parametric speech synthesis with a novel codebook-based excitation model

Intelligent Decision Technologies ◽

10.3233/idt-140197 ◽

2014 ◽

Vol 8 (4) ◽

pp. 289-299 ◽

Cited By ~ 3

Author(s):

Tamás Gábor Csapó ◽

Géza Németh

Keyword(s):

Speech Synthesis ◽

Excitation Model

Contextual Representation using Recurrent Neural Network Hidden State for Statistical Parametric Speech Synthesis

10.21437/ssw.2016-28 ◽

2016 ◽

Author(s):

Sivanand Achanta ◽

Rambabu Banoth ◽

Ayushi Pandey ◽

Anandaswarup Vadapalli ◽

Suryakanth V Gangashetty

Keyword(s):

Neural Network ◽

Recurrent Neural Network ◽

Speech Synthesis ◽

Contextual Representation

2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

Adaptation of an Expressive Single Speaker Deep Neural Network Speech Synthesis System

10.1109/icassp.2018.8461888 ◽

2018 ◽

Cited By ~ 2

Author(s):

Jonathan Parker ◽

Yannis Stylianou ◽

Roberto Cipolla

Keyword(s):

Neural Network ◽

Speech Synthesis ◽

Deep Neural Network ◽

Synthesis System ◽

Single Speaker

Temporal modeling in neural network based statistical parametric speech synthesis

10.21437/ssw.2016-18 ◽

2016 ◽

Cited By ~ 1

Author(s):

Keiichi Tokuda ◽

Kei Hashimoto ◽

Keiichiro Oura ◽

Yoshihiko Nankaku

Keyword(s):

Neural Network ◽

Speech Synthesis ◽

Temporal Modeling ◽

On the Application and Compression of Deep Time Delay Neural Network for Embedded Statistical Parametric Speech Synthesis

10.21437/interspeech.2018-1970 ◽

2018 ◽

Author(s):

Yibin Zheng ◽

Jianhua Tao ◽

Zhengqi Wen ◽

Ruibo Fu

Keyword(s):

Neural Network ◽

Time Delay ◽

Speech Synthesis ◽

Deep Time ◽

PROMIS: a statistical-parametric speech synthesis system with prominence control via a prominence network

10.21437/ssw.2019-46 ◽

2019 ◽

Author(s):

Zofia Malisz ◽

Harald Berthelsen ◽

Jonas Beskow ◽

Joakim Gustafson

Keyword(s):

Speech Synthesis ◽

Synthesis System ◽