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Yu Tsao
127 publications
Lin Zhang
88 publications
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Hsin-Min Wang
66 publications
Amir Hussain
46 publications
Mirco Ravanelli
44 publications
Di Jin
43 publications
Fei Chen
40 publications
Wen-Chin Huang
39 publications
Szu-Wei Fu
26 publications
Jianwu Dang
22 publications

∙ 07/29/2022

Pronunciation-aware unique character encoding for RNN Transducer-based Mandarin speech recognition

For Mandarin end-to-end (E2E) automatic speech recognition (ASR) tasks, ...

0 Peng Shen, et al. ∙

∙ 04/08/2022

Transducer-based language embedding for spoken language identification

The acoustic and linguistic features are important cues for the spoken l...

0 Peng Shen, et al. ∙

∙ 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. ∙

∙ 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. ∙

∙ 03/17/2022

TMS: A Temporal Multi-scale Backbone Design for Speaker Embedding

Speaker embedding is an important front-end module to explore discrimina...

0 Ruiteng Zhang, et al. ∙

∙ 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. ∙

∙ 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. ∙

∙ 10/26/2021

CS-Rep: Making Speaker Verification Networks Embracing Re-parameterization

Automatic speaker verification (ASV) systems, which determine whether tw...

0 Ruiteng Zhang, et al. ∙

∙ 04/08/2021

MetricGAN+: An Improved Version of MetricGAN for Speech Enhancement

The discrepancy between the cost function used for training a speech enh...

30 Szu-Wei Fu, et al. ∙

∙ 04/07/2021

Siamese Neural Network with Joint Bayesian Model Structure for Speaker Verification

Generative probability models are widely used for speaker verification (...

0 Xugang Lu, et al. ∙

∙ 02/07/2021

EMA2S: An End-to-End Multimodal Articulatory-to-Speech System

Synthesized speech from articulatory movements can have real-world use f...

0 Yu-Wen Chen, et al. ∙

∙ 01/09/2021

Integrating a joint Bayesian generative model in a discriminative learning framework for speaker verification

The task for speaker verification (SV) is to decide an utterance is spok...

0 Xugang Lu, et al. ∙

∙ 12/24/2020

Unsupervised neural adaptation model based on optimal transport for spoken language identification

Due to the mismatch of statistical distributions of acoustic speech betw...

0 Xugang Lu, et al. ∙

∙ 10/28/2020

Improving Perceptual Quality by Phone-Fortified Perceptual Loss for Speech Enhancement

Speech enhancement (SE) aims to improve speech quality and intelligibili...

0 Tsun-An Hsieh, et al. ∙

∙ 08/13/2020

Incorporating Broad Phonetic Information for Speech Enhancement

In noisy conditions, knowing speech contents facilitates listeners to mo...

0 Yen-Ju Lu, et al. ∙

∙ 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...

0 Tsun-An Hsieh, et al. ∙

∙ 01/06/2020

Speech Enhancement based on Denoising Autoencoder with Multi-branched Encoders

Deep learning-based models have greatly advanced the performance of spee...

0 Cheng Yu, et al. ∙

∙ 12/27/2019

Deep progressive multi-scale attention for acoustic event classification

Convolutional neural network (CNN) is an indispensable building block fo...

0 Xugang Lu, et al. ∙

∙ 04/30/2019

Incorporating Symbolic Sequential Modeling for Speech Enhancement

In a noisy environment, a lossy speech signal can be automatically resto...

0 Chien-Feng Liao, et al. ∙

∙ 01/12/2018

Speech Dereverberation Based on Integrated Deep and Ensemble Learning Algorithm

Reverberation, which is generally caused by sound reflections from walls...

0 Wei-Jen Lee, et al. ∙

∙ 01/12/2018

Speech Dereverberation Based on Integrated Deep and Ensemble Learning

Reverberation, which is generally caused by sound reflections from walls...

0 Wei-Jen Lee, et al. ∙

∙ 09/12/2017

End-to-End Waveform Utterance Enhancement for Direct Evaluation Metrics Optimization by Fully Convolutional Neural Networks

Speech enhancement model is used to map a noisy speech to a clean speech...

0 Szu-Wei Fu, et al. ∙

∙ 04/27/2017

Complex spectrogram enhancement by convolutional neural network with multi-metrics learning

This paper aims to address two issues existing in the current speech enh...

0 Szu-Wei Fu, et al. ∙

∙ 03/07/2017

Raw Waveform-based Speech Enhancement by Fully Convolutional Networks

This study proposes a fully convolutional network (FCN) model for raw wa...

0 Szu-Wei Fu, et al. ∙

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