{"id":257145,"date":"2022-10-22T22:23:22","date_gmt":"2022-10-22T16:53:22","guid":{"rendered":"https:\/\/www.jigsawacademy.com\/?p=257145"},"modified":"2022-10-27T22:23:51","modified_gmt":"2022-10-27T16:53:51","slug":"impact-of-artificial-intelligence-on-text-and-speech-recognition-technology","status":"publish","type":"post","link":"https:\/\/www.jigsawacademy.com\/blogs\/impact-of-artificial-intelligence-on-text-and-speech-recognition-technology\/","title":{"rendered":"Impact of Artificial Intelligence on Text and Speech Recognition Technology"},"content":{"rendered":"

Introduction<\/span><\/b>\u00a0<\/span><\/h3>\n

The development of Artificial Intelligence (AI) and <\/span>voice recognition<\/span><\/b> has had a profound impact on almost every area of human existence. One technology that has benefited from AI’s ability to streamline processes is speech recognition. We can now convert voicemails to text with this cutting-edge technology. It can also teach your speech so you can issue commands with only your voice. The relevance of this AI-driven voice recognition technology skyrocketed as a result, especially among the likes of Apple, Microsoft, Amazon, Google, Facebook, etc. Many new applications and gadgets have recently hit the market with built-in voice recognition capabilities.<\/span>\u00a0<\/span><\/p>\n

Voice assistants are predicted to surpass humans in a few years; according to Statista, by 2024, the number of voice assistants could double to <\/span>8.4 billion from 4.2 billion<\/span><\/a> in 2020. Each individual will use multiple voice assistants.<\/span>\u00a0<\/span><\/p>\n

AI in Speech Recognition Technology<\/span><\/b>\u00a0<\/span><\/h3>\n

Using Artificial Intelligence and Machine Learning, <\/span>voice recognition<\/span><\/b> is quickly overcoming the obstacles of inadequate recording equipment, noise cancellation, variances in people’s voices, accents, dialects, meanings, situations, etc. In addition, there are difficulties associated with deciphering human nature and the many linguistic quirks that make up human speech. The technology is now on a level with everyday human conversation after achieving a rate of<\/span> 95%<\/span><\/a> accuracy in voice recognition.<\/span>\u00a0<\/span><\/p>\n

Furthermore, because many big corporations support and actively use voice recognition, it is now a valid mode of communication. It’s predicted that most search engines will include speech technology in their primary search interface.<\/span>\u00a0<\/span><\/p>\n

Artificial Intelligence (AI) and Machine Learning (ML) algorithms have advanced to the point where they can now analyze enormous datasets and provide much-increased accuracy via self-learning and adapting to new circumstances. Using complex and random data that is easily available for mining and Machine Learning, machines are taught to “listen” to a variety of human speech patterns, including dialects, settings, emotions, and more.<\/span>\u00a0<\/span><\/p>\n

Use Cases of AI in Speech Recognition Technology<\/span><\/b>\u00a0<\/span><\/h2>\n

Let’s have a look at how voice recognition software is being put to use in various industries:<\/span>\u00a0<\/span><\/p>\n