activity
20192025
most citedWaveCRN: An Efficient Convolutional Recurrent Neural Network for End-to-end Speech Enhancement

77 citations · 237 across the 65 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

cs.SD2019

MoEVC: A Mixture-of-experts Voice Conversion System with Sparse Gating Mechanism for Accelerating Online Computation

Yu-Tao Chang, Yuan-Hong Yang, Yu-Huai Peng +4

With the recent advancements of deep learning technologies, the performance of voice conversion (VC) in terms of quality and similarity has been significantly improved. However, he…

eess.AS2019★ 11 cited

ASVspoof 2019: A large-scale public database of synthesized, converted and replayed speech

Xin Wang, Junichi Yamagishi, Massimiliano Todisco +37

Automatic speaker verification (ASV) is one of the most natural and convenient means of biometric person recognition. Unfortunately, just like all other biometric systems, ASV is v…

cs.SD2019

Improving the Intelligibility of Electric and Acoustic Stimulation Speech Using Fully Convolutional Networks Based Speech Enhancement

Natalie Yu-Hsien Wang, Hsiao-Lan Sharon Wang, Tao-Wei Wang +4

The combined electric and acoustic stimulation (EAS) has demonstrated better speech recognition than conventional cochlear implant (CI) and yielded satisfactory performance under q…

cs.SD2019★ 4 cited

Multichannel Speech Enhancement by Raw Waveform-mapping using Fully Convolutional Networks

Chang-Le Liu, Sze-Wei Fu, You-Jin Li +3

In recent years, waveform-mapping-based speech enhancement (SE) methods have garnered significant attention. These methods generally use a deep learning model to directly process a…

cs.SD2019★ 2 cited

Improving Automatic Jazz Melody Generation by Transfer Learning Techniques

Hsiao-Tzu Hung, Chung-Yang Wang, Yi-Hsuan Yang +1

In this paper, we tackle the problem of transfer learning for Jazz automatic generation. Jazz is one of representative types of music, but the lack of Jazz data in the MIDI format…