12 citations · 18 across the 8 of their papers we have counts for
11 papers
Mid-attribute speaker generation using optimal-transport-based interpolation of Gaussian mixture models
Aya Watanabe, Shinnosuke Takamichi, Yuki Saito +2
In this paper, we propose a method for intermediating multiple speakers' attributes and diversifying their voice characteristics in ``speaker generation,'' an emerging task that ai…
Multi-Task Adversarial Training Algorithm for Multi-Speaker Neural Text-to-Speech
Yusuke Nakai, Yuki Saito, Kenta Udagawa +1
We propose a novel training algorithm for a multi-speaker neural text-to-speech (TTS) model based on multi-task adversarial training. A conventional generative adversarial network…
HumanACGAN: conditional generative adversarial network with human-based auxiliary classifier and its evaluation in phoneme perception
Yota Ueda, Kazuki Fujii, Yuki Saito +3
We propose a conditional generative adversarial network (GAN) incorporating humans' perceptual evaluations. A deep neural network (DNN)-based generator of a GAN can represent a rea…
Lifter Training and Sub-band Modeling for Computationally Efficient and High-Quality Voice Conversion Using Spectral Differentials
Takaaki Saeki, Yuki Saito, Shinnosuke Takamichi +1
In this paper, we propose computationally efficient and high-quality methods for statistical voice conversion (VC) with direct waveform modification based on spectral differentials…
HumanGAN: generative adversarial network with human-based discriminator and its evaluation in speech perception modeling
Kazuki Fujii, Yuki Saito, Shinnosuke Takamichi +2
We propose the HumanGAN, a generative adversarial network (GAN) incorporating human perception as a discriminator. A basic GAN trains a generator to represent a real-data distribut…
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…