Unsupervised Acoustic Unit Representation Learning for Voice Conversion
using WaveNet Auto-encoders

Unsupervised Acoustic Unit Representation Learning for Voice Conversion using WaveNet Auto-encoders

16 August 2020

Thomas Hain

Papers citing "Unsupervised Acoustic Unit Representation Learning for Voice Conversion using WaveNet Auto-encoders"

5 / 5 papers shown

Title
Self-supervised language learning from raw audio: Lessons from the Zero Resource Speech Challenge Ewan Dunbar Nicolas Hamilakis Emmanuel Dupoux SSL 34 30 0 27 Oct 2022
Learning Phone Recognition from Unpaired Audio and Phone Sequences Based on Generative Adversarial Network Da-Rong Liu Po-Chun Hsu Yi-Chen Chen Sung-Feng Huang Shun-Po Chuang Da-Yi Wu Hung-yi Lee GAN 31 7 0 29 Jul 2022
Enhancing into the codec: Noise Robust Speech Coding with Vector-Quantized Autoencoders Jonah Casebeer Vinjai Vale Umut Isik J. Valin Ritwik Giri A. Krishnaswamy 54 18 0 12 Feb 2021
Towards unsupervised phone and word segmentation using self-supervised vector-quantized neural networks Herman Kamper Benjamin van Niekerk SSL MQ 23 35 0 14 Dec 2020
Vector-quantized neural networks for acoustic unit discovery in the ZeroSpeech 2020 challenge Benjamin van Niekerk Leanne Nortje Herman Kamper 33 115 0 19 May 2020