research
∙
08/14/2023
iSTFTNet2: Faster and More Lightweight iSTFT-Based Neural Vocoder Using 1D-2D CNN
The inverse short-time Fourier transform network (iSTFTNet) has garnered...
share
research
∙
03/24/2023
Wave-U-Net Discriminator: Fast and Lightweight Discriminator for Generative Adversarial Network-Based Speech Synthesis
In speech synthesis, a generative adversarial network (GAN), training a ...
research
∙
10/20/2022
DisC-VC: Disentangled and F0-Controllable Neural Voice Conversion
Voice conversion is a task to convert a non-linguistic feature of a give...
research
∙
06/09/2022
Speak Like a Dog: Human to Non-human creature Voice Conversion
This paper proposes a new voice conversion (VC) task from human speech t...
research
∙
03/04/2022
iSTFTNet: Fast and Lightweight Mel-Spectrogram Vocoder Incorporating Inverse Short-Time Fourier Transform
In recent text-to-speech synthesis and voice conversion systems, a mel-s...
research
∙
09/28/2021
FastMVAE2: On improving and accelerating the fast variational autoencoder-based source separation algorithm for determined mixtures
This paper proposes a new source model and training scheme to improve th...
research
∙
08/10/2021
StarGAN-VC+ASR: StarGAN-based Non-Parallel Voice Conversion Regularized by Automatic Speech Recognition
Preserving the linguistic content of input speech is essential during vo...
research
∙
04/14/2021
FastS2S-VC: Streaming Non-Autoregressive Sequence-to-Sequence Voice Conversion
This paper proposes a non-autoregressive extension of our previously pro...
research
∙
04/05/2021
StarGAN-based Emotional Voice Conversion for Japanese Phrases
This paper shows that StarGAN-VC, a spectral envelope transformation met...
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
∙
09/18/2020
X-DC: Explainable Deep Clustering based on Learnable Spectrogram Templates
Deep neural networks (DNNs) have achieved substantial predictive perform...
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
∙
08/07/2020
Pretraining Techniques for Sequence-to-Sequence Voice Conversion
Sequence-to-sequence (seq2seq) voice conversion (VC) models are attracti...
research
∙
05/18/2020
Many-to-Many Voice Transformer Network
This paper proposes a voice conversion (VC) method based on a sequence-t...
research
∙
12/14/2019
Voice Transformer Network: Sequence-to-Sequence Voice Conversion Using Transformer with Text-to-Speech Pretraining
We introduce a novel sequence-to-sequence (seq2seq) voice conversion (VC...
research
∙
11/05/2019
The ASVspoof 2019 database
Automatic speaker verification (ASV) is one of the most natural and conv...
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
∙
04/09/2019
Crossmodal Voice Conversion
Humans are able to imagine a person's voice from the person's appearance...
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
∙
03/29/2019
Training a Neural Speech Waveform Model using Spectral Losses of Short-Time Fourier Transform and Continuous Wavelet Transform
Recently, we proposed short-time Fourier transform (STFT)-based loss fun...
research
∙
12/16/2018
Fast MVAE: Joint separation and classification of mixed sources based on multichannel variational autoencoder with auxiliary classifier
This paper proposes an alternative algorithm for multichannel variationa...
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
∙
09/29/2018
Generalized Multichannel Variational Autoencoder for Underdetermined Source Separation
This paper deals with a multichannel audio source separation problem und...
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
∙
08/02/2018
Semi-blind source separation with multichannel variational autoencoder
This paper proposes a multichannel source separation method called the m...
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
Generative adversarial network-based approach to signal reconstruction from magnitude spectrograms
In this paper, we address the problem of reconstructing a time-domain si...
research
∙
04/03/2018
Speech waveform synthesis from MFCC sequences with generative adversarial networks
This paper proposes a method for generating speech from filterbank mel f...
research
∙
11/30/2017
Parallel-Data-Free Voice Conversion Using Cycle-Consistent Adversarial Networks
We propose a parallel-data-free voice conversion (VC) method that can le...
research
∙
07/16/2012