Facebook introduced an AI text-to-speech system (TTS) that produces a second of audio in 500 milliseconds. According to Facebook, the system, which is used with a new approach to data collection, powered the creation of a British accent-inflected voice in six months, versus over a year required for other voices. The TTS is now used for Facebook’s Portal smart display brand. The system can be hosted in real time via ordinary processors and is also available as a service for other apps, including Facebook’s VR. Continue reading Facebook Reveals New AI-Powered Text-to-Speech System

Both IBM and Google recently advanced development of Text-to-Speech (TTS) systems to create high-quality digital speech. OpenAI found that, since 2012, the compute power needed to train TTS models has exploded to more than 300,000 times. IBM created a much less compute-intensive model for speech synthesis, stating that it is able to do so in real-time and adapt to new speaking styles with little data. Google and Imperial College London created a generative adversarial network (GAN) to create high-quality synthetic speech. Continue reading Google and IBM Create Advanced Text-to-Speech Systems