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EPIC TTS Models: Empirical Pruning Investigations Characterizing
  Text-To-Speech Models

EPIC TTS Models: Empirical Pruning Investigations Characterizing Text-To-Speech Models

22 September 2022
Perry Lam
Huayun Zhang
Nancy F. Chen
Berrak Sisman
ArXivPDFHTML

Papers citing "EPIC TTS Models: Empirical Pruning Investigations Characterizing Text-To-Speech Models"

4 / 4 papers shown
Title
SNIPER Training: Single-Shot Sparse Training for Text-to-Speech
SNIPER Training: Single-Shot Sparse Training for Text-to-Speech
Perry Lam
Huayun Zhang
Nancy F. Chen
Berrak Sisman
Dorien Herremans
VLM
27
0
0
14 Nov 2022
On the Interplay Between Sparsity, Naturalness, Intelligibility, and
  Prosody in Speech Synthesis
On the Interplay Between Sparsity, Naturalness, Intelligibility, and Prosody in Speech Synthesis
Cheng-I Jeff Lai
Erica Cooper
Yang Zhang
Shiyu Chang
Kaizhi Qian
...
Yung-Sung Chuang
Alexander H. Liu
Junichi Yamagishi
David D. Cox
James R. Glass
26
6
0
04 Oct 2021
The Lottery Ticket Hypothesis for Pre-trained BERT Networks
The Lottery Ticket Hypothesis for Pre-trained BERT Networks
Tianlong Chen
Jonathan Frankle
Shiyu Chang
Sijia Liu
Yang Zhang
Zhangyang Wang
Michael Carbin
153
345
0
23 Jul 2020
What is the State of Neural Network Pruning?
What is the State of Neural Network Pruning?
Davis W. Blalock
Jose Javier Gonzalez Ortiz
Jonathan Frankle
John Guttag
191
1,027
0
06 Mar 2020
1