Confucius4-TTS
github.com
Spec sheet
- Purpose
- Confucius4-TTS is an LLM-based text-to-speech system for multilingual and cross-lingual speech synthesis that preserves speaker identity across languages.Read 13 Oct 2026 · github.com
- Product
- Confucius4-TTS is an LLM-based multilingual and cross-lingual zero-shot text-to-speech engine.Read 12 Oct 2026 · github.com
- Platforms
- web,api,linux,self_hostedRead 20 Sep 2026 · github.com
- Deployment
- The repository provides a Gradio web UI and a FastAPI server with streaming and non-streaming endpoints.Read 12 Oct 2026 · github.com
- API
- A FastAPI server provides non-streaming and streaming TTS endpoints that accept text, a language code and a reference audio upload.Read 13 Oct 2026 · github.com
- Integrations
- The project acknowledges use of Qwen3-TTS, CosyVoice, Amphion/MaskGCT, w2v-BERT 2.0, Seed-VC, and BigVGAN components or methods.Read 12 Oct 2026 · github.com
- License
- The repository includes an Apache License, Version 2.0.Read 13 Oct 2026 · github.com
- Maker
- The GitHub organization identifies itself as NetEase Youdao and lists Beijing as its location.Read 13 Oct 2026 · github.com
- API access
- YesRead 20 Sep 2026 · github.com
- API output
- The non-streaming API returns a WAV file and the streaming API returns raw int16 little-endian PCM chunks.Read 12 Oct 2026 · github.com
- Commercial use
- YesRead 20 Sep 2026 · github.com
- Cross-language transfer
- The project says users can synthesize speech across its supported languages while retaining the same voice.Read 13 Oct 2026 · github.com
- Cross-lingual transfer
- It can synthesize speech across its supported languages while retaining speaker identity.Read 12 Oct 2026 · github.com
- Emotion
- The README describes emotion transfer as a feature.Read 12 Oct 2026 · github.com
- Emotion transfer
- The listed features include emotion transfer that aims to carry the feeling of a reference voice into generated speech.Read 13 Oct 2026 · github.com
- Export formats
- WAV,PCMRead 20 Sep 2026 · github.com
- Fine-tuning
- The README documents training workflows for its Text2Semantic and Semantic2Acoustic modules using prepared TSV training data and pretrained models.Read 13 Oct 2026 · github.com
- Languages
- 14Read 20 Sep 2026 · github.com
- Languages
- The project lists support for 14 languages: Chinese, English, Japanese, Korean, German, French, Spanish, Indonesian, Italian, Thai, Portuguese, Russian, Malay and Vietnamese.Read 13 Oct 2026 · github.com
- Limit
- The README says vLLM support currently targets version 0.16.0 with the V1 engine and warns that hardware and CUDA requirements may prevent it from running.Read 12 Oct 2026 · github.com
- Performance
- The README reports multilingual and cross-lingual benchmark results, including WER, CER, and speaker similarity metrics.Read 12 Oct 2026 · github.com
- Requirements
- The listed installation requirements are Python 3.10 and CUDA 12.6.Read 13 Oct 2026 · github.com
- Streaming
- The project documents streaming generation that returns raw int16 little-endian PCM chunks and provides the sample rate in a response header.Read 13 Oct 2026 · github.com
- vLLM support
- For faster Text2Semantic generation, the README documents a vLLM backend and says it currently supports vLLM 0.16.0 with the V1 engine.Read 13 Oct 2026 · github.com
- Voice cloning
- It supports zero-shot voice cloning without requiring a reference transcript or additional training.Read 13 Oct 2026 · github.com
- Web demo
- The README links to an online Gradio demo and describes a browser UI where users upload reference audio, enter text, select a language and generate speech.Read 13 Oct 2026 · github.com
Where Specifiction places it
- Text-to-speech tools#119 of 2337.9
- Text-to-Speech Software#119 of 2237.9