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Fast, Compact, and High Quality LSTM-RNN Based Statistical Parametric
  Speech Synthesizers for Mobile Devices

Fast, Compact, and High Quality LSTM-RNN Based Statistical Parametric Speech Synthesizers for Mobile Devices

20 June 2016
Heiga Zen
Yannis Agiomyrgiannakis
Niels Egberts
Fergus Henderson
Przemyslaw Szczepaniak
ArXivPDFHTML

Papers citing "Fast, Compact, and High Quality LSTM-RNN Based Statistical Parametric Speech Synthesizers for Mobile Devices"

5 / 5 papers shown
Title
A Comprehensive Survey with Critical Analysis for Deepfake Speech Detection
A Comprehensive Survey with Critical Analysis for Deepfake Speech Detection
Lam Pham
Phat Lam
Dat Tran
Hieu Tang
Tin Nguyen
Alexander Schindler
Canh Vu
Alexander Polonsky
Canh Vu
66
4
0
23 Sep 2024
Deep Voice 2: Multi-Speaker Neural Text-to-Speech
Deep Voice 2: Multi-Speaker Neural Text-to-Speech
Sercan O. Arik
G. Diamos
Andrew Gibiansky
John Miller
Kainan Peng
Ming-Yu Liu
Jonathan Raiman
Yanqi Zhou
59
495
0
24 May 2017
On the efficient representation and execution of deep acoustic models
On the efficient representation and execution of deep acoustic models
R. Álvarez
Rohit Prabhavalkar
A. Bakhtin
MQ
43
55
0
15 Jul 2016
Investigating gated recurrent neural networks for speech synthesis
Investigating gated recurrent neural networks for speech synthesis
Zhizheng Wu
Simon King
23
100
0
11 Jan 2016
Loss minimization and parameter estimation with heavy tails
Loss minimization and parameter estimation with heavy tails
Daniel J. Hsu
Sivan Sabato
64
188
0
07 Jul 2013
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