arXiv:1903.11269
공식 코드 · Papers with Code
CSS10: A Collection of Single Speaker Speech Datasets for 10 Languages
원문 초록
We describe our development of CSS10, a collection of single speaker speech datasets for ten languages. It is composed of short audio clips from LibriVox audiobooks and their aligned texts. To validate its quality we train two neural text-to-speech models on each dataset. Subsequently, we conduct Mean Opinion Score tests on the synthesized speech samples. We make our datasets, pre-trained models, and test resources publicly available. We hope they will be used for future speech tasks.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
ZipVoice-Dialog: Non-Autoregressive Spoken Dialogue Generation with Flow Matching
Differentiable Reward Optimization for LLM based TTS system
PresentAgent: Multimodal Agent for Presentation Video Generation
RapFlow-TTS: Rapid and High-Fidelity Text-to-Speech with Improved Consistency Flow Matching
InstructTTSEval: Benchmarking Complex Natural-Language Instruction Following in Text-to-Speech Systems
ZipVoice: Fast and High-Quality Zero-Shot Text-to-Speech with Flow Matching
토론
이 논문과 연결된 포럼 글이 아직 없습니다.