VisionStory's speech cloning engine utilizes a hybrid architecture of Mel Frequency Cepstrum Coefficients (MFCC) and Neural Vocoder. Users only need to provide 1 minute of clear audio, and the system can extract 128-dimensional acoustic features including fundamental frequency, resonance peaks, speech rate, etc., and generate cloned speech with 99% similarity to the original source after deep neural network training. The technology has passed the MOS (Mean Opinion Score) test, scoring 4.3 points on a 5-point scale, close to professional studio results. For example, an educational institution used this feature to batch convert the audio of lectures by famous teachers into AI course videos with personalized voices, saving 90% in re-recording costs. The platform also specially sets up a voiceprint encryption storage mechanism to ensure the security of user biometric data.
This answer comes from the articleVisionStory: generating AI explainer videos from images and textThe
English 
简体中文 
日本語 
Deutsch 
Português do Brasil