Technical realization and application value of zero sample synthesis
Muyan-TTS' zero-sample speech synthesis capability represents the state-of-the-art in current speech generation technology. This feature allows users to generate podcast-quality speech output without any additional training by simply providing a reference audio and text to be converted.
In terms of technical implementation, the system ensures the synthesis quality by extracting the acoustic features of the reference audio based on a large-scale pre-trained speech representation model; using an acoustic model adapted to the podcasting scenario for speech parameter prediction; and finally generating the final waveforms through an optimized neural vocoder. Tests show that the system can achieve a real-time inference speed of 0.33 sec/sec on NVIDIA A100 GPUs, which is much faster than most open-source TTS solutions.
This technology greatly simplifies the voice content creation process, allowing creators to instantly audition different voice styles and quickly iterate on content production. This provides unprecedented flexibility, especially in scenarios where the anchor needs to be changed on the fly or multiple narrative styles need to be experimented with.
This answer comes from the articleMuyan-TTS: Personalized Podcast Speech Training and SynthesisThe
