[Paper 리뷰] Speak, Read and Prompt: High-Fidelity Text-to-Speech with Minimal Supervision
Speak, Read and Prompt: High-Fidelity Text-to-Speech with Minimal SupervisionMinimal supervision으로 train 할 수 있는 multi-speaker text-to-speech model이 필요함SPEAR-TTSText to High level semantic token (Reading), Semantic token to Low-level acoustic token (Speaking)의 2가지 discrete speech representation을 combining 하여 text-to-speech를 sequence-to-sequence task로 casting특히 abundant audio-only data를 사용하여 Speak..
[Paper 리뷰] FA-GAN: Artifacts-Free and Phase-Aware High-Fidelity GAN-based Vocoder
FA-GAN: Artifacts-Free and Phase-Aware High-Fidelity GAN-based VocoderGenerative Adversarial Network-based vocoder는 noticeable spectral artifact 문제가 존재함FA-GANNon-ideal upsampling layer로 인해 발생하는 aliasing artifact를 suppress 하기 위해 generator에 anti-aliased twin deconvolution module을 도입Blurring artifact를 완화하고 spectral detail reconstruction을 enrich 하기 위해 phase information modeling을 지원하는 fine-grained mu..
[Paper 리뷰] VoiceLDM: Text-to-Speech with Environmental Context
VoiceLDM: Text-to-Speech with Environmental ContextDescription prompt와 content prompt를 활용하여 audio를 생성할 수 있음- Description prompt는 environmental context를 전달하고 content prompt는 linguistic information을 제공함VoiceLDMLatent diffusion model을 기반으로 하는 text-to-audio model을 채택하고 additional content prompt를 conditional input으로 활용할 수 있도록 확장Contrastive Language-Audio Pretraining과 Whisper를 활용하여 manual annotation, ..
[Paper 리뷰] Efficient WaveGlow: An Improved WaveGlow Vocoder with Enhanced Speed
Efficient WaveGlow: An Improved WaveGlow Vocoder with Enhanced SpeedEfficient neural vocoding을 위해 기존 WaveGlow를 개선할 수 있음Efficient WaveGlowAffine coupling layer와 invertible $1\times 1$ convolution으로 구성된 normalizing flow backbone을 활용기존 WaveNet-style network를 FFTNet-style dilated convolution network로 대체Audio, local condition feature에 group convolution을 적용Local condition은 각 coupling layer의 transform ..