Students from the Stanford Artificial Intelligence Lab (SAIL) have formed Sanas to develop the world’s first real-time speech accent translation technology. With help from top speech machine learning experts, the team is aiming to use the technology in customer care centers, an industry where accent issues can be quite problematic.
How did this idea materialize? Well, it was inspired by three international friends from Russia, China, and Venezuela, all of whom have various accents. They discovered that communication was a struggle due to accents, and even witnessed a mutual friend quit his job because of this challenge. The result was Sanas, which displayed increased foreign language learner fluency, as well as decreased word error rate.
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The world has shrunk, and people are doing business globally, while at the same time they have real difficulty understanding each other. Even getting Google Home or Alexa to understand accents accurately is extremely important. Digital communication is critical for our daily lives. Sanas is striving to make communication easy and free from friction, so people can speak confidently and understand each other, wherever they are and whoever they are trying to communicate with,” said Sanas’ CEO, Maxim Serebryakov.
