research
∙
09/18/2023
Electrolaryngeal Speech Intelligibility Enhancement Through Robust Linguistic Encoders
We propose a novel framework for electrolaryngeal speech intelligibility...
share
research
∙
09/14/2023
AAS-VC: On the Generalization Ability of Automatic Alignment Search based Non-autoregressive Sequence-to-sequence Voice Conversion
Non-autoregressive (non-AR) sequence-to-seqeunce (seq2seq) models for vo...
research
∙
10/19/2022
Two-stage training method for Japanese electrolaryngeal speech enhancement based on sequence-to-sequence voice conversion
Sequence-to-sequence (seq2seq) voice conversion (VC) models have greater...
research
∙
06/02/2021
A Preliminary Study of a Two-Stage Paradigm for Preserving Speaker Identity in Dysarthric Voice Conversion
We propose a new paradigm for maintaining speaker identity in dysarthric...
research
∙
04/14/2021
Non-autoregressive sequence-to-sequence voice conversion
This paper proposes a novel voice conversion (VC) method based on non-au...
research
∙
03/04/2021
crank: An Open-Source Software for Nonparallel Voice Conversion Based on Vector-Quantized Variational Autoencoder
In this paper, we present an open-source software for developing a nonpa...
research
∙
10/09/2020
The NU Voice Conversion System for the Voice Conversion Challenge 2020: On the Effectiveness of Sequence-to-sequence Models and Autoregressive Neural Vocoders
In this paper, we present the voice conversion (VC) systems developed at...
research
∙
07/11/2020
Quasi-Periodic WaveNet: An Autoregressive Raw Waveform Generative Model with Pitch-dependent Dilated Convolution Neural Network
In this paper, a pitch-adaptive waveform generative model named Quasi-Pe...
research
∙
03/26/2020
Non-parallel Voice Conversion System with WaveNet Vocoder and Collapsed Speech Suppression
In this paper, we integrate a simple non-parallel voice conversion (VC) ...
research
∙
07/24/2019
Non-Parallel Voice Conversion with Cyclic Variational Autoencoder
In this paper, we present a novel technique for a non-parallel voice con...
research
∙
07/21/2019
Statistical Voice Conversion with Quasi-Periodic WaveNet Vocoder
In this paper, we investigate the effectiveness of a quasi-periodic Wave...
research
∙
07/01/2019
Quasi-Periodic WaveNet Vocoder: A Pitch Dependent Dilated Convolution Model for Parametric Speech Generation
In this paper, we propose a quasi-periodic neural network (QPNet) vocode...
research
∙
05/02/2019
Investigation of F0 conditioning and Fully Convolutional Networks in Variational Autoencoder based Voice Conversion
In this work, we investigate the effectiveness of two techniques for imp...
research
∙
11/27/2018
Refined WaveNet Vocoder for Variational Autoencoder Based Voice Conversion
This paper presents a refinement framework of WaveNet vocoders for varia...
research
∙
04/30/2018