Voice Cloning Optimization
An artificial intelligence tool that is capable of generating natural-sounding speech can be embedded into many valuable services such as conversational agents for the disabled and conversational assistants. Such tool, when equipped with the capability of mimicking individuals’ vocal characteristics, will improve personalization of these services. In this project the intern will seek to develop a state-of-the-art voice cloning model. The two major research agendas underlying this project are as follow: to develop a data-efficient voice cloning model with high speech synthesis quality; to enrich voice cloning models with the capacity of voice properties manipulation for speech synthesis. On the former agenda the intern will set out to develop a model that requires minimal fine-tuning to pick up a new speaker’s vocal characteristics and use them to generate realistic audio samples. TO BE CONT’D
Voir la description complète du projetDavid Kristjanson Duvenaud
Lyrebird AI
Computer science
Information and cultural industries; Professional, scientific and technical services
University of Toronto
Accelerate