WellSaid Adds Verbal Cues, Phonetic Respellings, and Enhanced Security
WellSaid, a voice platform provider, has added features for more in-depth customization and automation of generative voice. Platform improvements include 15 brand new voice styles; verbal cues to customize pitch, pace, and loudness; and team collaboration enhancements.
WellSaid's latest features include the following:
- 15 new voice styles added to its library of more than 120 voices. Users can explore AI voices, customize their own, filter and search to identify preferred characteristics, and save favorite voices for future reference.
- Verbal cues that enable users to further customize their voiceovers by adjusting loudness, pace, and pitch. Users can also give directions directly to the model.
- Respelling with Oxford Languages, to find and input the Oxford dictionary phonetic spelling for improved pronunciation and a more precise outcome. Paired with the Replacements feature, the model will then automatically replace select words with phonetic respellings in every script with every voice.
- Upgraded team functionality for enhanced collaboration across shared projects, allowing users to divide projects among members and work on projects together in real time.
- Team Libraries, including a Pronunciation Library where users can access preferred pronunciations.
- Team Voices, enabling users to add preferred and previously used voices in one place.
- Single Sign-On for Enterprise Team subscribers.
- Robust Security Protection with certification for compliance with SOC2 and the European Union's General Data Protection Regulation (GDPR).
"Everything we build at WellSaid is intended to intuitively and effectively streamline the content workflow for creative professionals worldwide, and these new features are no exception," said Brian Cook, CEO of WellSaid, in a statement. "Looking ahead, we'll continue to innovate and improve upon our model at large, with additional features, voices, and integrations to further deliver high-quality AI voiceover technology indistinguishable from real human voices."