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End-to-End Feedback Loss in Speech Chain Framework via Straight-Through
  Estimator

End-to-End Feedback Loss in Speech Chain Framework via Straight-Through Estimator

31 October 2018
Andros Tjandra
S. Sakti
Satoshi Nakamura
ArXivPDFHTML

Papers citing "End-to-End Feedback Loss in Speech Chain Framework via Straight-Through Estimator"

14 / 14 papers shown
Title
Scalable Learning of Latent Language Structure With Logical Offline
  Cycle Consistency
Scalable Learning of Latent Language Structure With Logical Offline Cycle Consistency
Mayank Agarwal
Ramón Fernández Astudillo
Tahira Naseem
Subhajit Chaudhury
Pavan Kapanipathi
Salim Roukos
Alexander G. Gray
OffRL
24
0
0
31 May 2023
Learning the joint distribution of two sequences using little or no
  paired data
Learning the joint distribution of two sequences using little or no paired data
Soroosh Mariooryad
Matt Shannon
Siyuan Ma
Tom Bagby
David Kao
Daisy Stanton
Eric Battenberg
RJ Skerry-Ryan
30
2
0
06 Dec 2022
Self-Supervised Speech Representation Learning: A Review
Self-Supervised Speech Representation Learning: A Review
Abdel-rahman Mohamed
Hung-yi Lee
Lasse Borgholt
Jakob Drachmann Havtorn
Joakim Edin
...
Shang-Wen Li
Karen Livescu
Lars Maaløe
Tara N. Sainath
Shinji Watanabe
SSL
AI4TS
137
352
0
21 May 2022
Synt++: Utilizing Imperfect Synthetic Data to Improve Speech Recognition
Synt++: Utilizing Imperfect Synthetic Data to Improve Speech Recognition
Ting-Yao Hu
Mohammadreza Armandpour
A. Shrivastava
Jen-Hao Rick Chang
H. Koppula
Oncel Tuzel
SyDa
60
42
0
21 Oct 2021
A Review of the Gumbel-max Trick and its Extensions for Discrete
  Stochasticity in Machine Learning
A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning
Iris A. M. Huijben
W. Kool
Max B. Paulus
Ruud J. G. van Sloun
28
94
0
04 Oct 2021
You Do Not Need More Data: Improving End-To-End Speech Recognition by
  Text-To-Speech Data Augmentation
You Do Not Need More Data: Improving End-To-End Speech Recognition by Text-To-Speech Data Augmentation
A. Laptev
Roman Korostik
A. Svischev
A. Andrusenko
Ivan Medennikov
S. Rybin
16
61
0
14 May 2020
Semi-Supervised Speech Recognition via Local Prior Matching
Semi-Supervised Speech Recognition via Local Prior Matching
Wei-Ning Hsu
Ann Lee
Gabriel Synnaeve
Awni Y. Hannun
SSL
27
31
0
24 Feb 2020
Generating Synthetic Audio Data for Attention-Based Speech Recognition
  Systems
Generating Synthetic Audio Data for Attention-Based Speech Recognition Systems
Nick Rossenbach
Albert Zeyer
Ralf Schluter
Hermann Ney
18
83
0
19 Dec 2019
Towards Unsupervised Speech Recognition and Synthesis with Quantized
  Speech Representation Learning
Towards Unsupervised Speech Recognition and Synthesis with Quantized Speech Representation Learning
Alexander H. Liu
Tao Tu
Hung-yi Lee
Lin-Shan Lee
SSL
37
50
0
28 Oct 2019
Semi-Supervised Neural Text Generation by Joint Learning of Natural
  Language Generation and Natural Language Understanding Models
Semi-Supervised Neural Text Generation by Joint Learning of Natural Language Generation and Natural Language Understanding Models
Raheel Qader
François Portet
Cyril Labbe
47
23
0
29 Sep 2019
Listening while Speaking and Visualizing: Improving ASR through
  Multimodal Chain
Listening while Speaking and Visualizing: Improving ASR through Multimodal Chain
Johanes Effendi
Andros Tjandra
S. Sakti
Satoshi Nakamura
27
3
0
03 Jun 2019
Semi-supervised Sequence-to-sequence ASR using Unpaired Speech and Text
Semi-supervised Sequence-to-sequence ASR using Unpaired Speech and Text
M. Baskar
Shinji Watanabe
Ramón Fernández Astudillo
Takaaki Hori
L. Burget
J. Černocký
36
41
0
30 Apr 2019
Listening while Speaking: Speech Chain by Deep Learning
Listening while Speaking: Speech Chain by Deep Learning
Andros Tjandra
S. Sakti
Satoshi Nakamura
AuLLM
126
165
0
16 Jul 2017
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
218
7,929
0
17 Aug 2015
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