glm tts

We have hosted the application glm tts in order to run this application in our online workstations with Wine or directly.

Quick description about glm tts:

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.
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