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20182024
most citedVoice Conversion by Cascading Automatic Speech Recognition and Text-to-Speech Synthesis with Prosody Transfer

6 citations · 6 across the 3 of their papers we have counts for

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Showing 2018Show all

2 papers · 1 filter

cs.SD2018

Improving Sequence-to-Sequence Acoustic Modeling by Adding Text-Supervision

Jing-Xuan Zhang, Zhen-Hua Ling, Yuan Jiang +3

This paper presents methods of making using of text supervision to improve the performance of sequence-to-sequence (seq2seq) voice conversion. Compared with conventional frame-to-f…

cs.SD2018

Sequence-to-Sequence Acoustic Modeling for Voice Conversion

Jing-Xuan Zhang, Zhen-Hua Ling, Li-Juan Liu +2

In this paper, a neural network named Sequence-to-sequence ConvErsion NeTwork (SCENT) is presented for acoustic modeling in voice conversion. At training stage, a SCENT model is es…