Voice-recognition software is a great tool for current days. It is becoming increasingly famous, because of the huge measure of the better voice recognition abilities of today’s smartphone platforms, like Apple’s iOS and Google’s Android. However, that’s not the single factor behind the uptick in speech recognition in mobile phones. There is an increased demand for better user interfaces, particularly from customers who do not wish to completely depend on a touchscreen feature to communicate with their smartphone.
Why Voice Search
There are many reasons to use voice-search for your mobile app. Let’s take a look at some of these factors together.
One of the 2018 Trends Is Voice Search
In the hope of the evolvement that will open out in 2018, loads of the articles have been published forecasting the SEO trends that’ll be significant to address in the future. Constant growth of voice search is one of the trends predicted by researchers. This is the increasing tendency for customers to depend on personal digital assistants and speech commands to manage their search queries. Although the year of 2018 might witness incremental rises in this trend, we think we are on the edge of total search revolution in upcoming days. So what’s inspiring this change, and how can we get ready for the changes to accompany it?
It’s difficult to say how many queries on search engines are voice-based because Google doesn’t post the exact details on regular basis. But, we know that trend is growing, and soon, voice searches may show most of the overall searches.
The revolution of voice search has been catalyzed through the increase of smart speakers. Though comparable technologies have been there for several years. In 2017, trades of smart speakers increased over tripled due to the increment of both Amazon Echo and Google Home. Smart spokesman is nearly dependent on voice commands for operating and conditioning people for solving their queries and finish their tasks with the use of voice-based questions.
Advantages of Integrating Voice Commands Into Mobile Apps
Voice recognition apps have been present in the market for several years. However, until recently, beyond the particular regions like warehousing, speech recognition has not seen a bigger uptake through the small business society as a whole. With professional and high accuracy rates of apps accessible for mobile devices, is speech recognition. This is a service that your business could make a wonderful use of today. A number of business customers may already have experienced what speech recognition can provide.
The power of speech recognition apps is that they can easily turn us everyone into high-speed typists. Being competent to speak at normal speaking pace and have your phrases precisely transcribed is a great productivity benefit all businesses can enjoy. And when your business has to continually type the same text into various papers, the top voice recognition apps can have particular voice commands classified that will insert these text blocks for you.
How To Integrate Voice Commands Into Mobile Apps
In general words, voice recognition system converts spoken terms into text. Well, this is the exact idea that is employed for giving voice search in dissimilar types of applications.
Here is the procedure of how to integrate voice commands in mobile apps:
- Initially, the user gives voice input to the application functioning by calling up voice recognition and speaking loudly some words.
- After that those spoken words are captured through a microphone and processed through the competent voice recognition software which converts it to text.
- Ultimately that converted text is given as input to leading search system which gives the results.
Challenges While Integrating
As voice integration is a latest technology, the majority of programmers may find it overwhelming, but there is nothing to worry about because everything can be improved with some fixes. However, some commonly challenged developers face while integrating are listed below.
Real-time responsive behavior: Well, this issue relies on both the network connection and network capability of the device as well as on the microphone. Whenever a user gives a voice command to the app, then the application has to correspond with a server to convert that data into text. When the converted text is transmitted back to the device, then it can perform some work. This is usually known as “real-time” responsive actions of the app. If that task is “search”, then your device transmits one more request to the server for fetching the results. In these cases, Network latency is typically a challenge. What you can do at the moment is to ensure that the code source of your application is optimized properly.
Languages: Generally, not all speech-recognition apps support all the available languages. Two options are there, paid solutions and free ones. Developers require identifying not only the areas to which they require their applications to be installed, but also make tactical decisions about the use of a speech conversion service.
Accent: This problem is quite same as the language problem, where the voice of a user just will not be identified because of a dissimilar accent of speaking. But, the good news is that Google’s API supports numerous accents because of its database that contains Gigabytes of content about speech recognition.
iOS vs. Android: Comparison of Integrating Voice Search
At this point we are aiming to know the differences that you might observe at the time of making voice-based applications on both of these platforms:
Cost: Working on an Android application is cheaper at $25 per annum as compared to iOS app. However, Apple charges $99 per annum, which should not be a problem because that figure would get covered easily via app monetization by adding in-app purchases, ads and so on.
Restriction: When it comes to Google fanboys, this is still a major area where Google’s Android wins Apple’s iOS in terms of software development. Since Apple has a limited setting for development, Android follows a ‘you-are-in-control’ approach that provides you numerous choices to tweak around, hence enable you to include more voice-based features as compared to Apple.
Consistency: Finally, this is where Apple beats Android. Since you can post your Android app on various outlets besides the Google Play-Store, you’ll find inconsistent reviews available to them. However, iTunes can help to get your app identified when every download of your application is made through it and it will also let you check your progress.
SDK: Various 3rd party SDKs accessible for developing apps are dissimilar. Since there are many famous SDKs accessible for both platforms, however, some IDEs are only accessible to one specific environment like Android Studio for Android, and iSpeech for iPhone. Honestly, there is not a particular answer to which SDK is good because both the operating system environments have some exceptional IDEs.
The prospective for voice in applications is huge. An occasion is comprising it in language learning applications to as a support for handicapped customers. At some point, wearable devices will stimulate the acceptance of voice in mobile applications. Since it may be a few time before voice will substitute touch as main input system to smartphone applications, developers require considering how to and whether add voice control to their applications to remain competitive.