Controllable Singing-Voice-Synthesis with Natural Language Prompt
First controllable SVS model using natural language prompts for singer gender, vocal range, and volume control.
High-Fidelity Singing Voice Generation via a Novel Neural Vocoder with Accelerated Training
InstructSing, a novel neural vocoder, can generate high-quality 48kHz singing voices while converging much faster compared to other state-of-the-art neural vocoders.
Muskits-ESPnet: A Versatile Toolkit for Advancing Singing Voice Synthesis with Pretrained Models and Discrete Representations
Muskits-ESPnet introduces new paradigms for singing voice synthesis by integrating pretrained audio models and exploring discrete representations, enhancing model capability and efficiency while automating the entire data processing workflow.
SongTrans: A Unified Model for Automatic Transcription and Alignment of Song Lyrics and Musical Notes
SongTrans is a unified model that can directly transcribe and align song lyrics and musical notes without requiring pre-processing or separate tools.
SiFiSinger: Enhancing Singing Voice Synthesis with Source-Filter Modeling and Differentiable Reconstruction
SiFiSinger is a novel end-to-end singing voice synthesis system that leverages source-filter modeling and differentiable reconstruction losses to improve pitch accuracy and overall audio quality compared to previous systems like VISinger 2.
소스-필터 모델 기반 고충실도 엔드투엔드 노래 음성 합성기, SiFiSinger
SiFiSinger는 음성 생성의 소스-필터 메커니즘을 기반으로 하는 새로운 엔드투엔드 노래 음성 합성 시스템으로, 향상된 음질과 정확한 음높이 제어 기능을 제공합니다.
