most citedMulti-speaker Text-to-speech Synthesis Using Deep Gaussian Processes

3 citations · 3 across the 1 of their papers we have counts for

collaborators

2 papers

eess.AS2020★ 3 cited

Multi-speaker Text-to-speech Synthesis Using Deep Gaussian Processes

Kentaro Mitsui, Tomoki Koriyama, Hiroshi Saruwatari

Multi-speaker speech synthesis is a technique for modeling multiple speakers' voices with a single model. Although many approaches using deep neural networks (DNNs) have been propo…

cs.SD2019

JVS corpus: free Japanese multi-speaker voice corpus

Shinnosuke Takamichi, Kentaro Mitsui, Yuki Saito +3

Thanks to improvements in machine learning techniques, including deep learning, speech synthesis is becoming a machine learning task. To accelerate speech synthesis research, we ar…