While Google is working hard on its Assistant, it has still not reached closed to perfection.

And those unnecessary Google results related to the words you spoke adds up to the unsatisfactory experience.

Activate “OK Google” Voice RecognitionStep 1: On your Android, open the Settings menu.Step 2: Scroll down to find a section labeled “Google.” Tap on it to find all the features offered by Google for customization.Step 3: From the list of options, find and tap on “Account Services.”Step 4: Then select the “Search, Assistant & Voice” option followed by “Voice.”Step 5: Under the “Hey Google” section,  tap on “Voice Match.”Step 6: Toggle the slider named “Hey Google” to On position or the “While Driving” to manage Google Maps when you are driving.Step 7: Once you turn on the toggle switch for “OK Google,” you will be directed by Google to set up your voice profile.

You will be made to say “OK Google” 3-4 times until Google can understand and save your voice.

This is all the more important if your family members also “OK Google” as voice recognition.How to Turn On/Off the Google AssistantThe above process educated you on activating voice recognition for the command, “OK Google.” In case you wish to turn on/off the Google Assistant completely, then here is how:Step 1: Open Settings and scroll down to tap on the Google section.Step 2: Then select “Account Services,” followed by “Search, Assistant & Voice.”These steps were almost the same as you did to activate the “OK Google” voice control.Step 3: Now, select “Google Assistant” from the list of options that comes up.

This will bring up your Google Profile.Step 4: Swipe left to view a list of options and choose “Assistant” from the profile.

According to the new market research report "Far-Field Speech and Voice Recognition Market by Component (Microphones, DSP and Software), Application (Smart TV/STB, Smart Speakers, Automotive, and Robotics), Microphone Solutions (Single, Linear, Circular), and Geography - Global Forecast to 2024", the market is expected to grow from USD 969 million in 2018 to USD 3,505 million by 2024, at a CAGR of 23.89%.

The growth of the far-field speech and voice recognition market can be attributed to the technical advancement of deep-learning-based far-field microphones, growing impact of front-end hardware components on the accuracy of speech and voice recognition, and growth in voice control–based smart speakers.

Moreover, the deployment of far-field speech and voice recognition in smart home devices and application of speech and voice recognition in service robotics is expected to create huge growth opportunities for the far-field speech and voice recognition market.

Get Free 10% Customization on this Report-https://www.marketsandmarkets.com/requestCustomizationNew.asp?id=39497510 Far-filed Speech and voice recognition market for others application to grow at the highest rate during the forecast periodOthers include Smart Light, Smart Thermostats, Smart Vacuum Cleaners, Smart Fridge, and Smart Washing Machines.

There is an increase in demand for AI-enabled smart speakers in smart home and smart office applications.

Linear arrays are mainly used in smart speakers, Smart TVs and STB (set-top box), automotive and home router, home security device, thermostat, or home appliance and hence hold the major share in far-field speech and voice recognition market.

The technology has developed, speech recognition has become progressively implanted in our everyday lives with voice-driven apps like Amazon’s Alexa, Apple’s Siri, Microsoft’s Cortana, or the many voice-responsive features of Google.

From our phones, computers, watches, and even our refrigerators, each new voice-interactive device that we bring into our daily lives extends our need for artificial intelligence (AI) and machine learning.Artificial Intelligence and Machine Learning:For the first time, Ai services could be defined as human intelligence displayed by machines.

Where it was first used to analyze and quickly compute data, artificial intelligence now allows computers to do things that only humans can do.Machine learning, a subset of artificial intelligence, refers to systems that can learn by itself.

It teaches a computer to identify patterns, not programming with specific rules.

In the early days, programmers had to write code for every object they wanted to identify.

Now a system can identify both by showing several examples of each.