research
∙
06/04/2023
End-to-End Joint Target and Non-Target Speakers ASR
This paper proposes a novel automatic speech recognition (ASR) system th...
share
research
∙
05/24/2023
Downstream Task Agnostic Speech Enhancement with Self-Supervised Representation Loss
Self-supervised learning (SSL) is the latest breakthrough in speech proc...
research
∙
02/25/2021
MaskCycleGAN-VC: Learning Non-parallel Voice Conversion with Filling in Frames
Non-parallel voice conversion (VC) is a technique for training voice con...
research
∙
10/22/2020
CycleGAN-VC3: Examining and Improving CycleGAN-VCs for Mel-spectrogram Conversion
Non-parallel voice conversion (VC) is a technique for learning mappings ...
research
∙
10/06/2020
VoiceGrad: Non-Parallel Any-to-Many Voice Conversion with Annealed Langevin Dynamics
In this paper, we propose a non-parallel any-to-many voice conversion (V...
research
∙
08/27/2020
Non-Parallel Voice Conversion with Augmented Classifier Star Generative Adversarial Networks
We have previously proposed a method that allows for non-parallel voice ...
research
∙
05/18/2020
Many-to-Many Voice Transformer Network
This paper proposes a voice conversion (VC) method based on a sequence-t...
research
∙
07/29/2019
StarGAN-VC2: Rethinking Conditional Methods for StarGAN-Based Voice Conversion
Non-parallel multi-domain voice conversion (VC) is a technique for learn...
research
∙
04/09/2019
CycleGAN-VC2: Improved CycleGAN-based Non-parallel Voice Conversion
Non-parallel voice conversion (VC) is a technique for learning the mappi...
research
∙
04/05/2019
WaveCycleGAN2: Time-domain Neural Post-filter for Speech Waveform Generation
WaveCycleGAN has recently been proposed to bridge the gap between natura...
research
∙
11/09/2018
AttS2S-VC: Sequence-to-Sequence Voice Conversion with Attention and Context Preservation Mechanisms
This paper describes a method based on a sequence-to-sequence learning (...
research
∙
11/05/2018
ConvS2S-VC: Fully convolutional sequence-to-sequence voice conversion
This paper proposes a voice conversion method based on fully convolution...
research
∙
09/25/2018
WaveCycleGAN: Synthetic-to-natural speech waveform conversion using cycle-consistent adversarial networks
We propose a learning-based filter that allows us to directly modify a s...
research
∙
08/13/2018
ACVAE-VC: Non-parallel many-to-many voice conversion with auxiliary classifier variational autoencoder
This paper proposes a non-parallel many-to-many voice conversion (VC) me...
research
∙
06/06/2018
StarGAN-VC: Non-parallel many-to-many voice conversion with star generative adversarial networks
This paper proposes a method that allows for non-parallel many-to-many v...
research
∙
04/06/2018