WaveNet has achieved naturalness above 4.0 in the 5-scale MOS (Mean Opinion Score) tests, which is almost in the near vicinity of actual human speech. With this API, developers can quickly integrate TTS for any application that requires voice interaction. Cloud Text-to-Speech leverages Google’s own successful research in deep neural networks as well as DeepMind’s WaveNet technology. Last year, Google launched its high-fidelity text-to-speech synthesizer, which can read the text in 20 different languages in hundred plus custom voices.

Let’s weigh some of the leading TTS systems in terms of speech quality and pricing. Every customer-facing industry, including banking, healthcare, hospitality, and education stands to benefit from the enhanced customer engagement opportunities offered by intelligent and natural voice interaction. Remember Duplex that debuted at Google I/O 2018? This AI-powered Google Assistant famously dialed up a salon, negotiated an appointment with the staff in an intelligent back-and-forth communication, without giving away the fact that it was a machine.įrom the way that conversational AI is evolving and is being mainstreamed, it is clear that speech is going to be a key quality determinant for TTS-driven solutions. While intelligible TTS systems are well-developed, the quest for the perfect-sounding one is still on. Generating natural speech remains the holy grail of text-to-speech (TTS) synthesis systems.

Free tts voices for windows