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09/18/2023
Electrolaryngeal Speech Intelligibility Enhancement Through Robust Linguistic Encoders
We propose a novel framework for electrolaryngeal speech intelligibility...
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09/15/2023
Audio Difference Learning for Audio Captioning
This study introduces a novel training paradigm, audio difference learni...
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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...
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09/05/2023
Evaluating Methods for Ground-Truth-Free Foreign Accent Conversion
Foreign accent conversion (FAC) is a special application of voice conver...
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06/26/2023
The Singing Voice Conversion Challenge 2023
We present the latest iteration of the voice conversion challenge (VCC) ...
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06/24/2023
An Analysis of Personalized Speech Recognition System Development for the Deaf and Hard-of-Hearing
Deaf or hard-of-hearing (DHH) speakers typically have atypical speech ca...
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12/16/2022
Text-to-speech synthesis based on latent variable conversion using diffusion probabilistic model and variational autoencoder
Text-to-speech synthesis (TTS) is a task to convert texts into speech. T...
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12/16/2022
Investigation of Japanese PnG BERT language model in text-to-speech synthesis for pitch accent language
End-to-end text-to-speech synthesis (TTS) can generate highly natural sy...
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11/15/2022
Music Similarity Calculation of Individual Instrumental Sounds Using Metric Learning
The criteria for measuring music similarity are important for developing...
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11/02/2022
Analysis of Noisy-target Training for DNN-based speech enhancement
Deep neural network (DNN)-based speech enhancement usually uses a clean ...
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11/02/2022
Intermediate Fine-Tuning Using Imperfect Synthetic Speech for Improving Electrolaryngeal Speech Recognition
Research on automatic speech recognition (ASR) systems for electrolaryng...
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10/28/2022
NNSVS: A Neural Network-Based Singing Voice Synthesis Toolkit
This paper describes the design of NNSVS, an open-source software for ne...
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10/27/2022
Source-Filter HiFi-GAN: Fast and Pitch Controllable High-Fidelity Neural Vocoder
Our previous work, the unified source-filter GAN (uSFGAN) vocoder, intro...
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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...
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07/13/2022
A Cyclical Approach to Synthetic and Natural Speech Mismatch Refinement of Neural Post-filter for Low-cost Text-to-speech System
Neural-based text-to-speech (TTS) systems achieve very high-fidelity spe...
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07/10/2022
A Comparative Study of Self-supervised Speech Representation Based Voice Conversion
We present a large-scale comparative study of self-supervised speech rep...
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06/30/2022
An Evaluation of Three-Stage Voice Conversion Framework for Noisy and Reverberant Conditions
This paper presents a new voice conversion (VC) framework capable of dea...
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06/13/2022
Improvement of Serial Approach to Anomalous Sound Detection by Incorporating Two Binary Cross-Entropies for Outlier Exposure
Anomalous sound detection systems must detect unknown, atypical sounds u...
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05/12/2022
Unified Source-Filter GAN with Harmonic-plus-Noise Source Excitation Generation
This paper introduces a unified source-filter network with a harmonic-pl...
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03/29/2022
Investigating Self-supervised Pretraining Frameworks for Pathological Speech Recognition
We investigate the performance of self-supervised pretraining frameworks...
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03/21/2022
The VoiceMOS Challenge 2022
We present the first edition of the VoiceMOS Challenge, a scientific eve...
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11/13/2021
Direct Noisy Speech Modeling for Noisy-to-Noisy Voice Conversion
Beyond the conventional voice conversion (VC) where the speaker informat...
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11/10/2021
HASA-net: A non-intrusive hearing-aid speech assessment network
Without the need of a clean reference, non-intrusive speech assessment m...
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10/18/2021
LDNet: Unified Listener Dependent Modeling in MOS Prediction for Synthetic Speech
An effective approach to automatically predict the subjective rating for...
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10/15/2021
Towards Identity Preserving Normal to Dysarthric Voice Conversion
We present a voice conversion framework that converts normal speech into...
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10/12/2021
S3PRL-VC: Open-source Voice Conversion Framework with Self-supervised Speech Representations
This paper introduces S3PRL-VC, an open-source voice conversion (VC) fra...
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09/22/2021
Noisy-to-Noisy Voice Conversion Framework with Denoising Model
In a conventional voice conversion (VC) framework, a VC model is often t...
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09/08/2021
Time Alignment using Lip Images for Frame-based Electrolaryngeal Voice Conversion
Voice conversion (VC) is an effective approach to electrolaryngeal (EL) ...
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07/20/2021
On Prosody Modeling for ASR+TTS based Voice Conversion
In voice conversion (VC), an approach showing promising results in the l...
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06/11/2021
Anomalous Sound Detection Using a Binary Classification Model and Class Centroids
An anomalous sound detection system to detect unknown anomalous sounds u...
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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...
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05/20/2021
Low-Latency Real-Time Non-Parallel Voice Conversion based on Cyclic Variational Autoencoder and Multiband WaveRNN with Data-Driven Linear Prediction
This paper presents a low-latency real-time (LLRT) non-parallel voice co...
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05/20/2021
High-Fidelity and Low-Latency Universal Neural Vocoder based on Multiband WaveRNN with Data-Driven Linear Prediction for Discrete Waveform Modeling
This paper presents a novel high-fidelity and low-latency universal neur...
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04/14/2021
Non-autoregressive sequence-to-sequence voice conversion
This paper proposes a novel voice conversion (VC) method based on non-au...
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04/10/2021
Unified Source-Filter GAN: Unified Source-filter Network Based On Factorization of Quasi-Periodic Parallel WaveGAN
We propose a unified approach to data-driven source-filter modeling usin...
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04/07/2021
The AS-NU System for the M2VoC Challenge
This paper describes the AS-NU systems for two tracks in MultiSpeaker Mu...
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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...
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01/30/2021
Speech Recognition by Simply Fine-tuning BERT
We propose a simple method for automatic speech recognition (ASR) by fin...
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10/23/2020
Any-to-One Sequence-to-Sequence Voice Conversion using Self-Supervised Discrete Speech Representations
We present a novel approach to any-to-one (A2O) voice conversion (VC) in...
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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...
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10/09/2020
Baseline System of Voice Conversion Challenge 2020 with Cyclic Variational Autoencoder and Parallel WaveGAN
In this paper, we present a description of the baseline system of Voice ...
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10/06/2020
The Sequence-to-Sequence Baseline for the Voice Conversion Challenge 2020: Cascading ASR and TTS
This paper presents the sequence-to-sequence (seq2seq) baseline system f...
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09/08/2020
Predictions of Subjective Ratings and Spoofing Assessments of Voice Conversion Challenge 2020 Submissions
The Voice Conversion Challenge 2020 is the third edition under its flags...
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08/28/2020
Voice Conversion Challenge 2020: Intra-lingual semi-parallel and cross-lingual voice conversion
The voice conversion challenge is a bi-annual scientific event held to c...
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08/07/2020
Pretraining Techniques for Sequence-to-Sequence Voice Conversion
Sequence-to-sequence (seq2seq) voice conversion (VC) models are attracti...
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07/25/2020
Quasi-Periodic Parallel WaveGAN: A Non-autoregressive Raw Waveform Generative Model with Pitch-dependent Dilated Convolution Neural Network
In this paper, we propose a quasi-periodic parallel WaveGAN (QPPWG) wave...
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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...
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05/18/2020
A Cyclical Post-filtering Approach to Mismatch Refinement of Neural Vocoder for Text-to-speech Systems
Recently, the effectiveness of text-to-speech (TTS) systems combined wit...
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05/18/2020
Quasi-Periodic Parallel WaveGAN Vocoder: A Non-autoregressive Pitch-dependent Dilated Convolution Model for Parametric Speech Generation
In this paper, we propose a parallel WaveGAN (PWG)-like neural vocoder w...
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05/18/2020