However, not opting in to the program comes at a price, because those who do opt in will pay 33 percent less for the service. Today, Google is making its premium models generally available to all customers, including those who don’t want to opt into its data logging program.
They include an enhanced phone model that produces 62 percent fewer transcription errors than the regular model and a video model that’s useful for conference calls with multiple speakers. To account for this, Google introduced a premium version of Speech-to-Text in beta last year for customers that opt to share usage data so it can help to refine its algorithms. “As you can see with the illustration below, even at 90 percent accuracy, it’s hard to have a useful conversation.” “When creating intelligent voice applications, speech recognition accuracy is critical,” Aharon said. This reliance on AI is important, because anything less than 100 percent accuracy can result in serious mistakes that make it difficult to have a useful conversations, Google Product Manager Dan Aharon said in a blog post today.īut Google freely admits that its Speech-to-Text isn’t always entirely accurate because many applications that use it run on “noisy” phone lines that can make it difficult to interpret exactly what people are saying. Google Cloud Speech-to-Text is essentially an advanced transcription service that relies on machine learning and other artificial intelligence technologies to improve its accuracy. Google LLC is pushing its popular Cloud Speech-to-Text and Text-to-Speech machine learning services harder, adding new features to both and making the former more accessible to large enterprises.
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