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20192026
most citedMultilingual Neural Machine Translation with Knowledge Distillation

128 citations · 246 across the 20 of their papers we have counts for

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5 papers · 1 filter

cs.SD20228 cited

SyntaSpeech: Syntax-Aware Generative Adversarial Text-to-Speech

Zhenhui Ye, Zhou Zhao, Yi Ren +1

The recent progress in non-autoregressive text-to-speech (NAR-TTS) has made fast and high-quality speech synthesis possible. However, current NAR-TTS models usually use phoneme seq…

cs.SD2022

Attributable-Watermarking of Speech Generative Models

Yongbaek Cho, Changhoon Kim, Yezhou Yang +1

Generative models are now capable of synthesizing images, speeches, and videos that are hardly distinguishable from authentic contents. Such capabilities cause concerns such as mal…

cs.SD20212 cited

WSRGlow: A Glow-based Waveform Generative Model for Audio Super-Resolution

Kexun Zhang, Yi Ren, Changliang Xu +1

Audio super-resolution is the task of constructing a high-resolution (HR) audio from a low-resolution (LR) audio by adding the missing band. Previous methods based on convolutional…

cs.SD20202 cited

SongMASS: Automatic Song Writing with Pre-training and Alignment Constraint

Zhonghao Sheng, Kaitao Song, Xu Tan +4

Automatic song writing aims to compose a song (lyric and/or melody) by machine, which is an interesting topic in both academia and industry. In automatic song writing, lyric-to-mel…

cs.SD20206 cited

PopMAG: Pop Music Accompaniment Generation

Yi Ren, Jinzheng He, Xu Tan +3

In pop music, accompaniments are usually played by multiple instruments (tracks) such as drum, bass, string and guitar, and can make a song more expressive and contagious by arrang…