Voice Startup AMAI Closes $600k Round

Startup uses voice synthesis based on deep learning and runs on CPU and GPU

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Voice Startup AMAI Closes $600k Round
Speech Analytics

Published: September 29, 2021

Sandra Radlovački

Sandra Radlovački

AMAI, a provider of artificial intelligence-enabled voice engines, announced that it has closed a $600,000 investment round to launch its AI text-to-speech solutions. The startup will enter the U.S. voice market, launch new AI voice solutions, and enhance product capacity.

AMAI’s voice synthesis is based on deep learning and runs on central-processor-unit (CPU) and graphic-processor-unit (GPU), with a response time of less than 200 milliseconds.

It allowed AMAI to develop an AI voice that 97 percent of users could not discern from real human speech. Its text-to-speech technology can be used in a variety of applications, such as gaming, call centers, banking, digital assistance, podcasts, and audiobooks.

AMAI’s conversational AI voice mood editor allows users to create audio recordings with emotions, stops, and pauses. Conversational AI with a voice editor allows users to select the mood, accent, and speech speed.

Pavel Osokin, CEO and co-founder of AMAI, said: “There are many vendors developing voice solutions for businesses on the market. Our niche, however, has no competitors. Conversational AI, for example, requires training by an in-house development team in a call center. To replace the mood or accent of a synthetic voice, coding skills are required. We’ve created a system that not only saves you money on deployment but also allows you to control everything with only a few clicks.”

Andrey Taburinsky, co-founder of NRG Ventures, one of AMAI’s leading financial backers, said: “AMAI has developed one of the best voice synthesizing technologies in the world. We see great potential for its use in the future: It will be possible to create films without actors in the future, create digital voice assistants who are indistinguishable from real people, voiceover all books, and completely automate call centers.”

 

 

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