research
∙
09/18/2023
Utilizing Whisper to Enhance Multi-Branched Speech Intelligibility Prediction Model for Hearing Aids
Automated assessment of speech intelligibility in hearing aid (HA) devic...
share
research
∙
08/18/2023
Multi-Task Pseudo-Label Learning for Non-Intrusive Speech Quality Assessment Model
This study proposes a multi-task pseudo-label learning (MPL)-based non-i...
research
∙
06/11/2023
Mandarin Electrolaryngeal Speech Voice Conversion using Cross-domain Features
Patients who have had their entire larynx removed, including the vocal f...
research
∙
06/11/2023
Audio-Visual Mandarin Electrolaryngeal Speech Voice Conversion
Electrolarynx is a commonly used assistive device to help patients with ...
research
∙
12/11/2022
BASPRO: a balanced script producer for speech corpus collection based on the genetic algorithm
The performance of speech-processing models is heavily influenced by the...
research
∙
10/27/2022
CasNet: Investigating Channel Robustness for Speech Separation
Recording channel mismatch between training and testing conditions has b...
research
∙
10/27/2022
A Teacher-student Framework for Unsupervised Speech Enhancement Using Noise Remixing Training and Two-stage Inference
The lack of clean speech is a practical challenge to the development of ...
research
∙
09/21/2022
Mandarin Singing Voice Synthesis with Denoising Diffusion Probabilistic Wasserstein GAN
Singing voice synthesis (SVS) is the computer production of a human-like...
research
∙
06/18/2022
NASTAR: Noise Adaptive Speech Enhancement with Target-Conditional Resampling
For deep learning-based speech enhancement (SE) systems, the training-te...
research
∙
04/09/2022
A Study of Using Cepstrogram for Countermeasure Against Replay Attacks
In this paper, we investigate the properties of the cepstrogram and demo...
research
∙
04/07/2022
MTI-Net: A Multi-Target Speech Intelligibility Prediction Model
Recently, deep learning (DL)-based non-intrusive speech assessment model...
research
∙
04/07/2022
MBI-Net: A Non-Intrusive Multi-Branched Speech Intelligibility Prediction Model for Hearing Aids
Improving the user's hearing ability to understand speech in noisy envir...
research
∙
04/01/2022
Filter-based Discriminative Autoencoders for Children Speech Recognition
Children speech recognition is indispensable but challenging due to the ...
research
∙
03/30/2022
Generation of Speaker Representations Using Heterogeneous Training Batch Assembly
In traditional speaker diarization systems, a well-trained speaker model...
research
∙
03/30/2022
Disentangling the Impacts of Language and Channel Variability on Speech Separation Networks
Because the performance of speech separation is excellent for speech in ...
research
∙
03/30/2022
Multi-target Filter and Detector for Unknown-number Speaker Diarization
A strong representation of a target speaker can aid in extracting import...
research
∙
03/28/2022
Subspace-based Representation and Learning for Phonotactic Spoken Language Recognition
Phonotactic constraints can be employed to distinguish languages by repr...
research
∙
03/25/2022
Speech-enhanced and Noise-aware Networks for Robust Speech Recognition
Compensation for channel mismatch and noise interference is essential fo...
research
∙
03/25/2022
Chain-based Discriminative Autoencoders for Speech Recognition
In our previous work, we proposed a discriminative autoencoder (DcAE) fo...
research
∙
03/21/2022
The VoiceMOS Challenge 2022
We present the first edition of the VoiceMOS Challenge, a scientific eve...
research
∙
02/14/2022
Partially Fake Audio Detection by Self-attention-based Fake Span Discovery
The past few years have witnessed the significant advances of speech syn...
research
∙
02/14/2022
EMGSE: Acoustic/EMG Fusion for Multimodal Speech Enhancement
Multimodal learning has been proven to be an effective method to improve...
research
∙
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...
research
∙
11/03/2021
Deep Learning-based Non-Intrusive Multi-Objective Speech Assessment Model with Cross-Domain Features
In this study, we propose a cross-domain multi-objective speech assessme...
research
∙
10/19/2021
Speech Enhancement-assisted Stargan Voice Conversion in Noisy Environments
Numerous voice conversion (VC) techniques have been proposed for the con...
research
∙
09/08/2021
Time Alignment using Lip Images for Frame-based Electrolaryngeal Voice Conversion
Voice conversion (VC) is an effective approach to electrolaryngeal (EL) ...
research
∙
08/01/2021
SurpriseNet: Melody Harmonization Conditioning on User-controlled Surprise Contours
The surprisingness of a song is an essential and seemingly subjective fa...
research
∙
07/20/2021
SVSNet: An End-to-end Speaker Voice Similarity Assessment Model
Neural evaluation metrics derived for numerous speech generation tasks h...
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
∙
06/02/2021
Sequence to General Tree: Knowledge-Guided Geometry Word Problem Solving
With the recent advancements in deep learning, neural solvers have gaine...
research
∙
05/01/2021
AlloST: Low-resource Speech Translation without Source Transcription
The end-to-end architecture has made promising progress in speech transl...
research
∙
04/07/2021
The AS-NU System for the M2VoC Challenge
This paper describes the AS-NU systems for two tracks in MultiSpeaker Mu...
research
∙
01/30/2021
Speech Recognition by Simply Fine-tuning BERT
We propose a simple method for automatic speech recognition (ASR) by fin...
research
∙
12/17/2020
Speech Enhancement with Zero-Shot Model Selection
Recent research on speech enhancement (SE) has seen the emergence of dee...
research
∙
11/09/2020
STOI-Net: A Deep Learning based Non-Intrusive Speech Intelligibility Assessment Model
The calculation of most objective speech intelligibility assessment metr...
research
∙
10/26/2020
Melody Harmonization Using Orderless NADE, Chord Balancing, and Blocked Gibbs Sampling
Coherence and interestingness are two criteria for evaluating the perfor...
research
∙
10/06/2020
The Academia Sinica Systems of Voice Conversion for VCC2020
This paper describes the Academia Sinica systems for the two tasks of Vo...
research
∙
08/30/2020
Improved Lite Audio-Visual Speech Enhancement
Numerous studies have investigated the effectiveness of audio-visual mul...
research
∙
05/24/2020
Lite Audio-Visual Speech Enhancement
Previous studies have confirmed the effectiveness of incorporating visua...
research
∙
05/24/2020
SERIL: Noise Adaptive Speech Enhancement using Regularization-based Incremental Learning
Numerous noise adaptation techniques have been proposed to address the m...
research
∙
04/06/2020
WaveCRN: An Efficient Convolutional Recurrent Neural Network for End-to-end Speech Enhancement
Due to the simple design pipeline, end-to-end (E2E) neural models for sp...
research
∙
01/22/2020
Unsupervised Representation Disentanglement using Cross Domain Features and Adversarial Learning in Variational Autoencoder based Voice Conversion
An effective approach for voice conversion (VC) is to disentangle lingui...
research
∙
01/06/2020
Speech Enhancement based on Denoising Autoencoder with Multi-branched Encoders
Deep learning-based models have greatly advanced the performance of spee...
research
∙
12/27/2019
MoEVC: A Mixture-of-experts Voice Conversion System with Sparse Gating Mechanism for Accelerating Online Computation
With the recent advancements of deep learning technologies, the performa...
research
∙
11/19/2019
Distributed Microphone Speech Enhancement based on Deep Learning
Speech-related applications deliver inferior performance in complex nois...
research
∙
11/05/2019
The ASVspoof 2019 database
Automatic speaker verification (ASV) is one of the most natural and conv...
research
∙
09/26/2019
Improving the Intelligibility of Electric and Acoustic Stimulation Speech Using Fully Convolutional Networks Based Speech Enhancement
The combined electric and acoustic stimulation (EAS) has demonstrated be...
research
∙
09/26/2019
Multichannel Speech Enhancement by Raw Waveform-mapping using Fully Convolutional Networks
In recent years, waveform-mapping-based speech enhancement (SE) methods ...
research
∙
08/26/2019
Improving Automatic Jazz Melody Generation by Transfer Learning Techniques
In this paper, we tackle the problem of transfer learning for Jazz autom...
research
∙
05/02/2019
