GLM-TTS
github.com
Spec sheet
- Purpose
- GLM-TTS is a text-to-speech synthesis system based on large language models.Read 13 Oct 2026 · github.com
- Product
- GLM-TTS is a large-language-model-based text-to-speech system that supports zero-shot voice cloning and streaming inference.Read 12 Oct 2026 · github.com
- Platforms
- web,self_hostedRead 20 Sep 2026 · github.com
- Integrations
- The project acknowledges CosyVoice for frontend processing and vocoding, Llama as its language-model architecture, and Vocos as a vocoder.Read 12 Oct 2026 · github.com
- Security
- The repository page does not state security certifications or compliance claims.Read 12 Oct 2026 · github.com
- Support
- The project links to a technical report, Hugging Face, ModelScope, and an Audio.Z.AI site; the repository page does not specify a support service.Read 12 Oct 2026 · github.com
- License
- The repository identifies its license as Apache-2.0.Read 13 Oct 2026 · github.com
- Deployment hardware
- The repository provides separate setup instructions for GPU and NPU environments.Read 13 Oct 2026 · github.com
- Emotion control
- Its multi-reward reinforcement learning framework supports emotional expression and prosody control.Read 13 Oct 2026 · github.com
- Export formats
- WAVRead 20 Sep 2026 · github.com
- Hardware and setup
- The setup instructions cover GPU and Ascend NPU environments and specify Python 3.10–3.12.Read 12 Oct 2026 · github.com
- Inference
- The repository provides command-line and shell-script inference, plus an interactive web interface launched with Gradio.Read 12 Oct 2026 · github.com
- Inference options
- It supports phoneme-level text-to-speech, multiple sampling strategies, and multiple inference modes.Read 13 Oct 2026 · github.com
- Languages
- It primarily supports Chinese and also supports English mixed text.Read 13 Oct 2026 · github.com
- Model architecture
- The system uses an LLM to generate speech token sequences and a Flow model to convert tokens into audio waveforms.Read 13 Oct 2026 · github.com
- Model downloads
- The complete model weights can be downloaded from Hugging Face or ModelScope.Read 13 Oct 2026 · github.com
- Pronunciation
- Phoneme-in supports hybrid phoneme and text input to control pronunciation of specific words, including polyphones and rare characters.Read 12 Oct 2026 · github.com
- Requirements
- The quick-start instructions specify Python 3.10 through 3.12.Read 13 Oct 2026 · github.com
- Streaming
- It supports real-time streaming audio generation for interactive applications.Read 13 Oct 2026 · github.com
- Upcoming work
- The README lists a 2D Vocos vocoder update and reinforcement-learning-optimized model weights as coming soon.Read 13 Oct 2026 · github.com
- Voice cloning
- It supports zero-shot voice cloning from 3–10 seconds of prompt audio.Read 13 Oct 2026 · github.com
- Web interface
- The repository includes instructions for running an interactive web interface with Gradio.Read 13 Oct 2026 · github.com
Where Specifiction places it
- Text-to-Speech Software#151 of 2237.6
- Text-to-speech tools#193 of 2337.3