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How to Add a Voice Assistant to Your Mobile App?

How to Add a Voice Assistant to Your Mobile App

Voice-recognition services have gained immense popularity and transformed our life significantly. We no longer rely on the touchscreens of our smart devices and can enjoy their myriad functions hands-free. It is more effortless than ever to operate a device using the incorporated voice assistant. 

Everyone is aware of successful and renowned examples such as Google Assistant for Android devices and Siri for iOS ones. Even the most prominent eCommerce store, Amazon, executed its voice assistant, Alexa, and giants such as Microsoft Corporation integrated Cortana into Windows. You’ve heard a lot about one more brilliant example of an excellent tech combination which is the robot called Sophia. 

It is a perplexing invention, an AI with an incorporated voice-recognition option. We assume that this is just the creation of a fresh epoch in the technology sphere that will transform both the real and digital world. 

How to Integrate Voice Assistant in Your App?

There are three methods to make your app understand verbal language and keep up a conversation. 

The First Method: Involves incorporating existing voice technologies into your app using special APIs and other app-building tools.

The Second Method: The second method enables mobile app developers to build an intelligent assistant with the help of APIs and open-source services.

The Third Method: This method is about developing your voice assistant from the beginning with its further addition into your app.

Each method has its importance. Renowned companies like Apple, Microsoft, and Google reluctantly provide their beloved work to third-party developers. On the other hand, utilizing open-source tools may not fulfill your expectations. Also, forming an AI assistant like Siri on your own may become an unworkable task.

How to Build a Voice-Over App?

To successfully embrace voice technology in the business, you must select the critical deployment model and utilize essential third-party SDK. Two feasible deployment models can be used– cloud and embedded. 

Cloud is probably the most suitable way if you would like to incorporate speech-to-speech conversations and voice recognition. All these procedures will be set in the cloud, and the space on your device will not be overfilled. However, it would help determine that the cloud needs an Internet connection that can not consistently be implemented.

The implanted model on the opposite can be utilized offline since it is located on your device. However, the incorporated model implies that you require a lot of free space on your smartphone or tablet because all audio components will be kept locally on your device. The main benefit is that you will not feel any application delays as it does not depend on any server. 

Among SDKs, you can find various available options, and thus you may face specific issues while selecting the exact one you require. To develop a voice assistant app like Alexa, your choice should rely directly on your objective and project: 

  • Google Cloud Text-to-Speech API. It enables developers to perform high-quality text conversion to speech and supports 120 languages alongside 100 voices. 
  • Siri Shortcuts. By utilizing this feature, you can conveniently form shortcuts and integrate your custom voice commands for the frequently used options on your device. 
  • Amazon Transcribe. Although it keeps only English and Spanish, this tool allows you to perform modification of speech to text and recognition of various speakers. 
  • Nuance. Exceptional cross-platform voice libraries that work with 40+ languages and deliver excellent voice recognition services. 
  • Azure Speech API. It is a task of Microsoft Corporation that functions speech-to-text and reverse conversion.

Wrapping It Up!!

Voice is the immense natural thing that allows us to exchange information quickly and set the basic level of communication. Although voice technology still has some associated constraints (like inability to determine certain accents, restriction over supported languages, delays of real-time reply), it is getting better with passing the time, and it can captivate more users in the future. Hence it can be stated doubtlessly that investment in a voice-over app will be a wise choice. 

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