Neural-based text-to-speech (TTS) systems achieve very high-fidelity spe...
Beyond the conventional voice conversion (VC) where the speaker informat...
In a conventional voice conversion (VC) framework, a VC model is often
t...
This paper presents a low-latency real-time (LLRT) non-parallel voice
co...
This paper presents a novel high-fidelity and low-latency universal neur...
In this paper, we present an open-source software for developing a
nonpa...
In this paper, we present the voice conversion (VC) systems developed at...
In this paper, we present a description of the baseline system of Voice
...
In this paper, a pitch-adaptive waveform generative model named
Quasi-Pe...
Recently, the effectiveness of text-to-speech (TTS) systems combined wit...
In this paper, we integrate a simple non-parallel voice conversion (VC)
...
In this paper, we present a novel technique for a non-parallel voice
con...
In this paper, we investigate the effectiveness of a quasi-periodic Wave...
In this paper, we propose a quasi-periodic neural network (QPNet) vocode...
In this work, we investigate the effectiveness of two techniques for
imp...
This paper presents a refinement framework of WaveNet vocoders for
varia...
In this paper, we propose a technique to alleviate quality degradation c...