Unsupervised acoustic unit discovery for speech synthesis using discrete
latent-variable neural networks

Unsupervised acoustic unit discovery for speech synthesis using discrete latent-variable neural networks

16 April 2019

Benjamin van Niekerk

Avashna Govender

Elan Van Biljon

Ewald van der Westhuizen

Lisa van Staden

Papers citing "Unsupervised acoustic unit discovery for speech synthesis using discrete latent-variable neural networks"

18 / 18 papers shown

Title
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 390 10,591 0 17 Feb 2020
The Zero Resource Speech Challenge 2019: TTS without T Ewan Dunbar Robin Algayres Julien Karadayi Mathieu Bernard Juan Benjumea ... Lucas Ondel A. Black Laurent Besacier S. Sakti Emmanuel Dupoux 64 117 0 25 Apr 2019
Unsupervised speech representation learning using WaveNet autoencoders J. Chorowski Ron J. Weiss Samy Bengio Aaron van den Oord SSL 72 318 0 25 Jan 2019
Multi-target Voice Conversion without Parallel Data by Adversarially Learning Disentangled Audio Representations Ju-Chieh Chou Cheng-chieh Yeh Hung-yi Lee Lin-Shan Lee 47 132 0 09 Apr 2018
Linguistic unit discovery from multi-modal inputs in unwritten languages: Summary of the "Speaking Rosetta" JSALT 2017 Workshop O. Scharenborg Laurent Besacier A. Black M. Hasegawa-Johnson Florian Metze ... Elin Larsen Danny Merkx Rachid Riad Liming Wang Emmanuel Dupoux 63 33 0 14 Feb 2018
The Zero Resource Speech Challenge 2017 Maarten Versteegh Xuan-Nga Cao Roland Thiollière Thomas Schatz Mathieu Bernard A. Jansen Xavier Anguera Miró Emmanuel Dupoux 65 203 0 12 Dec 2017
Neural Discrete Representation Learning Aaron van den Oord Oriol Vinyals Koray Kavukcuoglu BDL SSL OCL 226 5,008 0 02 Nov 2017
Unsupervised Learning of Disentangled and Interpretable Representations from Sequential Data Wei-Ning Hsu Yu Zhang James R. Glass BDL SSL 78 352 0 22 Sep 2017
Query-by-Example Search with Discriminative Neural Acoustic Word Embeddings Shane Settle Keith D. Levin Herman Kamper Karen Livescu 60 86 0 12 Jun 2017
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 315 5,364 0 03 Nov 2016
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables Chris J. Maddison A. Mnih Yee Whye Teh BDL 186 2,531 0 02 Nov 2016
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network Wenzhe Shi Jose Caballero Ferenc Huszár J. Totz Andrew P. Aitken Rob Bishop Daniel Rueckert Zehan Wang SupR 319 5,229 0 16 Sep 2016
WaveNet: A Generative Model for Raw Audio Aaron van den Oord Sander Dieleman Heiga Zen Karen Simonyan Oriol Vinyals Alex Graves Nal Kalchbrenner A. Senior Koray Kavukcuoglu DiffM 404 7,391 0 12 Sep 2016
Full Resolution Image Compression with Recurrent Neural Networks G. Toderici Damien Vincent Nick Johnston S. Hwang David C. Minnen Joel Shor Michele Covell GAN 51 828 0 18 Aug 2016
Variable Rate Image Compression with Recurrent Neural Networks G. Toderici Sean M. O'Malley S. Hwang Damien Vincent David C. Minnen S. Baluja Michele Covell Rahul Sukthankar 75 671 0 19 Nov 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.8K 150,039 0 22 Dec 2014
Techniques for Learning Binary Stochastic Feedforward Neural Networks T. Raiko Mathias Berglund Guillaume Alain Laurent Dinh BDL 103 126 0 11 Jun 2014
Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation Yoshua Bengio Nicholas Léonard Aaron Courville 379 3,129 0 15 Aug 2013