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20182025
most citedEnd-to-End Multi-Channel Speech Separation

80 citations · 190 across the 39 of their papers we have counts for

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5 papers · 1 filter

cs.SD201910 cited

Learning Singing From Speech

Liqiang Zhang, Chengzhu Yu, Heng Lu +5

We propose an algorithm that is capable of synthesizing high quality target speaker's singing voice given only their normal speech samples. The proposed algorithm first integrate s…

cs.SD20191 cited

PitchNet: Unsupervised Singing Voice Conversion with Pitch Adversarial Network

Chengqi Deng, Chengzhu Yu, Heng Lu +2

Singing voice conversion is to convert a singer's voice to another one's voice without changing singing content. Recent work shows that unsupervised singing voice conversion can be…

cs.SD201980 cited

End-to-End Multi-Channel Speech Separation

Rongzhi Gu, Jian Wu, Shi-Xiong Zhang +6

The end-to-end approach for single-channel speech separation has been studied recently and shown promising results. This paper extended the previous approach and proposed a new end…

cs.SD20191 cited

A comprehensive study of speech separation: spectrogram vs waveform separation

Fahimeh Bahmaninezhad, Jian Wu, Rongzhi Gu +4

Speech separation has been studied widely for single-channel close-talk microphone recordings over the past few years; developed solutions are mostly in frequency-domain. Recently,…

cs.SD2018

Deep Extractor Network for Target Speaker Recovery From Single Channel Speech Mixtures

Jun Wang, Jie Chen, Dan Su +4

Speaker-aware source separation methods are promising workarounds for major difficulties such as arbitrary source permutation and unknown number of sources. However, it remains cha…