21 citations · 45 across the 8 of their papers we have counts for
4 papers · 1 filter
MuSE-SVS: Multi-Singer Emotional Singing Voice Synthesizer that Controls Emotional Intensity
Sungjae Kim, Yewon Kim, Jewoo Jun +1
We propose a multi-singer emotional singing voice synthesizer, Muse-SVS, that expresses emotion at various intensity levels by controlling subtle changes in pitch, energy, and phon…
UniTTS: Residual Learning of Unified Embedding Space for Speech Style Control
Minsu Kang, Sungjae Kim, Injung Kim
We propose a novel high-fidelity expressive speech synthesis model, UniTTS, that learns and controls overlapping style attributes avoiding interference. UniTTS represents multiple…
Fast DCTTS: Efficient Deep Convolutional Text-to-Speech
Minsu Kang, Jihyun Lee, Simin Kim +1
We propose an end-to-end speech synthesizer, Fast DCTTS, that synthesizes speech in real time on a single CPU thread. The proposed model is composed of a carefully-tuned lightweigh…
VocGAN: A High-Fidelity Real-time Vocoder with a Hierarchically-nested Adversarial Network
Jinhyeok Yang, Junmo Lee, Youngik Kim +2
We present a novel high-fidelity real-time neural vocoder called VocGAN. A recently developed GAN-based vocoder, MelGAN, produces speech waveforms in real-time. However, it often p…