ReadSpeaker Launches Neural TTS Engine for Custom Voice Development
ReadSpeaker ntroduced ReadSpeaker Neural TTS Engine, a deep neural network (DNN) engine powering the company's voice enablement platform. With it, ReadSpeaker can generate speech using DNN-trained models.
The Neural TTS Engine builds on ReadSpeaker's foundational voice enablement platform, which today provides 90 text-to-speech (TTS) voices in 40 languages. By letting users create voices with DNN-trained models, ReadSpeaker will can now produce vcustom voice solutions faster—usually in six to eight weeks.
"The COVID-19 pandemic is changing the way that organizations connect with their target audiences," said Matt Muldoon, president of North America at ReadSpeaker, in a statement. "Physical interactions are being replaced with contactless ones, and brands need to quickly identify new ways to engage consumers or risk losing market share. Custom voice is an innovative, safe solution for fostering human connection between brand and audience. With ReadSpeaker Neural TTS Engine, we allow brands to quickly develop unique, life-like voices that can be used across various customer touchpoints. Brands can't afford to wait on integrating custom voice into their customer engagement mix."
"We've spent the last three years building ReadSpeaker Neural TTS Engine," said Niclas Bergstrom, chief technology officer at ReadSpeaker, in a statement. "With DNN technology, we can use less recording data to create higher-quality custom voices, as well as standard voices. This means faster development cycles, rapid ability to scale, and accelerated ROI for our customers. We believe this solution will catalyze voice adoption."
ReadSpeaker's text-to-speech technology is now available on Houndify's Voice AI platform.