GLM-TTS
Centres on GLM-TTS voice cloning from three seconds of audio and its emotion control, covering how two-stage generation with reinforcement learning lowers error rates and where narration and service use it.
GLM-TTS is an industrial-grade speech synthesis system released and open-sourced by Zhipu. Roughly three seconds of audio are enough to clone a voice, multiple emotions and roles are supported, and a two-stage generator trained with reinforcement learning lowers character error rates to an open-source leading level. Training and inference stay affordable, so education, audiobook and customer service teams can move from demo to production.
