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20172023
most citedRaw Waveform-based Speech Enhancement by Fully Convolutional Networks

35 citations · 119 across the 22 of their papers we have counts for

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6 papers · 1 filter

eess.AS2023

Cross-modal Alignment with Optimal Transport for CTC-based ASR

Xugang Lu, Peng Shen, Yu Tsao +1

Temporal connectionist temporal classification (CTC)-based automatic speech recognition (ASR) is one of the most successful end to end (E2E) ASR frameworks. However, due to the tok…

eess.AS2022★ 2 cited

Partial Coupling of Optimal Transport for Spoken Language Identification

Xugang Lu, Peng Shen, Yu Tsao +1

In order to reduce domain discrepancy to improve the performance of cross-domain spoken language identification (SLID) system, as an unsupervised domain adaptation (UDA) method, we…

eess.AS2021★ 2 cited

Siamese Neural Network with Joint Bayesian Model Structure for Speaker Verification

Xugang Lu, Peng Shen, Yu Tsao +1

Generative probability models are widely used for speaker verification (SV). However, the generative models are lack of discriminative feature selection ability. As a hypothesis te…

eess.AS2021

Coupling a generative model with a discriminative learning framework for speaker verification

Xugang Lu, Peng Shen, Yu Tsao +1

The speaker verification (SV) task is to decide whether an utterance is spoken by a target or an imposter speaker. For most studies, a log-likelihood ratio (LLR) score is estimated…

eess.AS2020★ 24 cited

Quasi-Periodic Parallel WaveGAN: A Non-autoregressive Raw Waveform Generative Model with Pitch-dependent Dilated Convolution Neural Network

Yi-Chiao Wu, Tomoki Hayashi, Takuma Okamoto +2

In this paper, we propose a quasi-periodic parallel WaveGAN (QPPWG) waveform generative model, which applies a quasi-periodic (QP) structure to a parallel WaveGAN (PWG) model using…

eess.AS2020★ 2 cited

Quasi-Periodic Parallel WaveGAN Vocoder: A Non-autoregressive Pitch-dependent Dilated Convolution Model for Parametric Speech Generation

Yi-Chiao Wu, Tomoki Hayashi, Takuma Okamoto +2

In this paper, we propose a parallel WaveGAN (PWG)-like neural vocoder with a quasi-periodic (QP) architecture to improve the pitch controllability of PWG. PWG is a compact non-aut…