This is the Windows app named GLM-TTS whose latest release can be downloaded as GLM-TTSsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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GLM-TTS
DESCRIPTION
GLM-TTS is an advanced text-to-speech synthesis system built on large language model technologies that focuses on producing high-quality, expressive, and controllable spoken output, including features like emotion modulation and zero-shot voice cloning. It uses a two-stage architecture where a generative LLM first converts text into intermediate speech token sequences and then a Flow-based neural model converts those tokens into natural audio waveforms, enabling rich prosody and voice character even for unseen speakers. The system introduces a multi-reward reinforcement learning framework that jointly optimizes for voice similarity, emotional expressiveness, pronunciation, and intelligibility, yielding output that can rival commercial options in naturalness and expressiveness. GLM-TTS also supports phoneme-level control and hybrid text + phoneme input, giving developers precise control over pronunciation critical for multilingual or polyphone-rich languages.
Features
- Zero-shot voice cloning from short prompt audio
- Multi-reward reinforcement learning for expressive prosody
- Two-stage LLM + Flow-based audio generation pipeline
- Support for phoneme-level control and hybrid inputs
- High-quality synthesis comparable with commercial TTS
- Streaming real-time speech synthesis
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/glm-tts.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
