smartslkp.blogg.se - Best voice recognition software for business

To build a robust speech recognition experience, the artificial intelligence behind it has to become better at handling challenges such as accents and background noise. By 2019, 66.6 million Americans are projected to be using speech or voice recognition technology. Research shows that the use of virtual assistants with speech recognition capabilities is forecast to keep increasing in the next year, from 60.5 million people in the United States in 2017 to 62.4 million in 2018. One goal of these companies may be to make voice assistants speak and reply with greater accuracy around context and content. Technology companies are recognizing interests in speech recognition technologies and are working toward making voice recognition a standard for most products. Potential Reasons for Developing Speech Recognition Technology

followed by a rundown of voice recognition technology from Facebook, Amazon, Microsoft, Google and Apple.

We start with some context on how and why the tech giants are developing voice recognition technology.

What could this technology look like in a few years?.

Why are they investing in speech recognition?.

How is speech recognition driving business value for these companies?.

By researching the speech recognition technology of these companies, we try to answer the following questions for our readers: With a number of voice recognition products on the market, we decided to look into the business implication of voice recognition. A subset of speech recognition is voice recognition, which is the technology for identifying a person based on their voice.įacebook, Amazon, Microsoft, Google and Apple - five of the world’s top tech companies - are already offering this feature on various devices through services like Google Home, Amazon Echo and Siri. Speech recognition is technology that can recognize spoken words, which can then be converted to text.