b'Yu Tsao'

research

∙ 09/19/2023

AV-SUPERB: A Multi-Task Evaluation Benchmark for Audio-Visual Representation Models

Audio-visual representation learning aims to develop systems with human-...

0 Yuan Tseng, et al. ∙

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...

0 Ryandhimas E. Zezario, et al. ∙

research

∙ 09/03/2023

Noise robust speech emotion recognition with signal-to-noise ratio adapting speech enhancement

Speech emotion recognition (SER) often experiences reduced performance d...

0 Yu-Wen Chen, et al. ∙

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...

0 Ryandhimas E. Zezario, et al. ∙

research

∙ 06/12/2023

Deep denoising autoencoder-based non-invasive blood flow detection for arteriovenous fistula

Clinical guidelines underscore the importance of regularly monitoring an...

0 Li-Chin Chen, et al. ∙

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...

0 Hsin-Hao Chen, et al. ∙

research

∙ 06/11/2023

Audio-Visual Mandarin Electrolaryngeal Speech Voice Conversion

Electrolarynx is a commonly used assistive device to help patients with ...

0 Yung-Lun Chien, et al. ∙

research

∙ 05/26/2023

ElectrodeNet – A Deep Learning Based Sound Coding Strategy for Cochlear Implants

ElectrodeNet, a deep learning based sound coding strategy for the cochle...

0 Enoch Hsin-Ho Huang, et al. ∙

research

∙ 04/13/2023

Deep Learning-based Fall Detection Algorithm Using Ensemble Model of Coarse-fine CNN and GRU Networks

Falls are the public health issue for the elderly all over the world sin...

0 Chien-Pin Liu, et al. ∙

research

∙ 03/16/2023

Preoperative Prognosis Assessment of Lumbar Spinal Surgery for Low Back Pain and Sciatica Patients based on Multimodalities and Multimodal Learning

Low back pain (LBP) and sciatica may require surgical therapy when they ...

0 Li-Chin Chen, et al. ∙

research

∙ 03/13/2023

Self-supervised based general laboratory progress pretrained model for cardiovascular event detection

Regular surveillance is an indispensable aspect of managing cardiovascul...

0 Li-Chin Chen, et al. ∙

research

∙ 03/07/2023

PreFallKD: Pre-Impact Fall Detection via CNN-ViT Knowledge Distillation

Fall accidents are critical issues in an aging and aged society. Recentl...

0 Tin-Han Chi, et al. ∙

research

∙ 02/03/2023

Interpretations of Domain Adaptations via Layer Variational Analysis

Transfer learning is known to perform efficiently in many applications e...

0 Huan-Hsin Tseng, et al. ∙

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...

0 Yu-Wen Chen, et al. ∙

research

∙ 11/11/2022

On the robustness of non-intrusive speech quality model by adversarial examples

It has been shown recently that deep learning based models are effective...

0 Hsin-Yi Lin, et al. ∙

research

∙ 11/02/2022

Inference and Denoise: Causal Inference-based Neural Speech Enhancement

This study addresses the speech enhancement (SE) task within the causal ...

0 Tsun-An Hsieh, et al. ∙

research

∙ 11/01/2022

T5lephone: Bridging Speech and Text Self-supervised Models for Spoken Language Understanding via Phoneme level T5

In Spoken language understanding (SLU), a natural solution is concatenat...

0 Chan-Jan Hsu, et al. ∙

research

∙ 10/27/2022

CasNet: Investigating Channel Robustness for Speech Separation

Recording channel mismatch between training and testing conditions has b...

0 Fan-Lin Wang, et al. ∙

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 ...

0 Li-Wei Chen, et al. ∙

research

∙ 10/24/2022

ECG Artifact Removal from Single-Channel Surface EMG Using Fully Convolutional Networks

Electrocardiogram (ECG) artifact contamination often occurs in surface e...

0 Kuan-Chen Wang, et al. ∙

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...

0 Yin-Ping Cho, et al. ∙

research

∙ 07/19/2022

ESPnet-SE++: Speech Enhancement for Robust Speech Recognition, Translation, and Understanding

This paper presents recent progress on integrating speech separation and...

0 Yen-Ju Lu, et al. ∙

research

∙ 06/18/2022

NASTAR: Noise Adaptive Speech Enhancement with Target-Conditional Resampling

For deep learning-based speech enhancement (SE) systems, the training-te...

0 Chi-Chang Lee, et al. ∙

research

∙ 06/16/2022

EPG2S: Speech Generation and Speech Enhancement based on Electropalatography and Audio Signals using Multimodal Learning

Speech generation and enhancement based on articulatory movements facili...

0 Li-Chin Chen, et al. ∙

research

∙ 04/15/2022

XDBERT: Distilling Visual Information to BERT from Cross-Modal Systems to Improve Language Understanding

Transformer-based models are widely used in natural language understandi...

0 Chan-Jan Hsu, et al. ∙

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...

0 Shih-kuang Lee, et al. ∙

research

∙ 04/07/2022

MTI-Net: A Multi-Target Speech Intelligibility Prediction Model

Recently, deep learning (DL)-based non-intrusive speech assessment model...

5 Ryandhimas E. Zezario, et al. ∙

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...

5 Ryandhimas E. Zezario, et al. ∙

research

∙ 04/01/2022

Filter-based Discriminative Autoencoders for Children Speech Recognition

Children speech recognition is indispensable but challenging due to the ...

0 Chiang-Lin Tai, et al. ∙

research

∙ 03/31/2022

Perceptual Contrast Stretching on Target Feature for Speech Enhancement

Speech enhancement (SE) performance has improved considerably since the ...

0 Rong Chao, et al. ∙

research

∙ 03/31/2022

Partial Coupling of Optimal Transport for Spoken Language Identification

In order to reduce domain discrepancy to improve the performance of cros...

0 Xugang Lu, et al. ∙

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 ...

0 Fan-Lin Wang, et al. ∙

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...

0 Chin-yi Cheng, et al. ∙

research

∙ 03/28/2022

Subspace-based Representation and Learning for Phonotactic Spoken Language Recognition

Phonotactic constraints can be employed to distinguish languages by repr...

0 Hung-Shin Lee, et al. ∙

research

∙ 03/25/2022

Speech-enhanced and Noise-aware Networks for Robust Speech Recognition

Compensation for channel mismatch and noise interference is essential fo...

0 Hung-Shin Lee, et al. ∙

research

∙ 03/21/2022

The VoiceMOS Challenge 2022

We present the first edition of the VoiceMOS Challenge, a scientific eve...

0 Wen-Chin Huang, et al. ∙

research

∙ 02/22/2022

Continuous Speech for Improved Learning Pathological Voice Disorders

Goal: Numerous studies had successfully differentiated normal and abnorm...

2 Syu-Siang Wang, et al. ∙

research

∙ 02/17/2022

When BERT Meets Quantum Temporal Convolution Learning for Text Classification in Heterogeneous Computing

The rapid development of quantum computing has demonstrated many unique ...

0 Chao-Han Huck Yang, et al. ∙

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...

0 Haibin Wu, et al. ∙

research

∙ 02/14/2022

EMGSE: Acoustic/EMG Fusion for Multimodal Speech Enhancement

Multimodal learning has been proven to be an effective method to improve...

0 Kuan-Chen Wang, et al. ∙

research

∙ 02/11/2022

A Novel Speech Intelligibility Enhancement Model based on CanonicalCorrelation and Deep Learning

Current deep learning (DL) based approaches to speech intelligibility en...

4 Tassadaq Hussain, et al. ∙

research

∙ 02/10/2022

Conditional Diffusion Probabilistic Model for Speech Enhancement

Speech enhancement is a critical component of many user-oriented audio a...

0 Yen-Ju Lu, et al. ∙

research

∙ 02/08/2022

A Speech Intelligibility Enhancement Model based on Canonical Correlation and Deep Learning for Hearing-Assistive Technologies

Current deep learning (DL) based approaches to speech intelligibility en...

0 Tassadaq Hussain, et al. ∙

research

∙ 01/24/2022

A Novel Temporal Attentive-Pooling based Convolutional Recurrent Architecture for Acoustic Signal Enhancement

In acoustic signal processing, the target signals usually carry semantic...

0 Tassadaq Hussain, et al. ∙

research

∙ 12/07/2021

Predicting the Travel Distance of Patients to Access Healthcare using Deep Neural Networks

Objective: Improving geographical access remains a key issue in determin...

0 Li-Chin Chen, et al. ∙

research

∙ 12/05/2021

Toward Real-World Pathological Voice Detection

Voice disorders significantly undermine people's ability to speak in the...

0 Heng-Cheng Kuo, et al. ∙

research

∙ 11/11/2021

Unsupervised Noise Adaptive Speech Enhancement by Discriminator-Constrained Optimal Transport

This paper presents a novel discriminator-constrained optimal transport ...

11 Hsin-Yi Lin, et al. ∙

research

∙ 11/10/2021

OSSEM: one-shot speaker adaptive speech enhancement using meta learning

Although deep learning (DL) has achieved notable progress in speech enha...

0 Cheng Yu, et al. ∙

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...

0 Hsin-Tien Chiang, et al. ∙

research

∙ 11/08/2021

SEOFP-NET: Compression and Acceleration of Deep Neural Networks for Speech Enhancement Using Sign-Exponent-Only Floating-Points

Numerous compression and acceleration strategies have achieved outstandi...

0 Yu-Chen Lin, et al. ∙

Yu Tsao

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