In our everyday life, voice assistants have become an integral part of the technology and applications we use. From searching some queries on the internet to set-up the whole smart house based on advanced voice assistance, voice assistant apps have come a long way.
Nowadays, they are overtaking the traditional internet search methods, due to which businesses are investing in voice assistant application development.
Android app development services are integrating voice assistants to improve user experience.
You no longer have to limit yourself only to Amazon or Apple for providing voice assistance; you can also create your own app with just a matter of steps.
In this article, let’s find out what those steps are:
Technologies Used in Voice Assistant App Development
Speech to Text (STT) Engine:
In this, you can pick speech recognition libraries or cloud solutions and embed them to convert the user’s voice or any audio clip into text.
Text to Speech (TTS) Engine:
Nowadays, many modern operating systems have built-in APIs for speech synthesis. In this, the engine can convert text to speech. When the user is busy with some other task, they can use the application of this technology.
Tagging:
Now, it is essential to understand the converted speech, and that’s where Tagging (Intelligence) comes to understand what the user is trying to say.
Noise Reduction Engine:
This engine is used to cancel out the external noise from the background to help the app focus on the command and process without distraction.
Voice Biometrics:
This is the authentication process that helps the system to understand the user’s voice.
Query Parser:
It helps the text to put into the phrase so that the app can decipher your language and understand the command better.
User Interface:
In voice assistant apps, there are two types of UI. One, where users can hear the outcomes of the voice commands. In the second one, users can view the search results on the screen.
Speech Compression Engine:
This engine compresses the user’s voice to help it reach the server much faster.
Pipeline:
Voice commands may need to perform varied tasks before executing the result, such as playing a song, searching for meaning, hospitals near an area, etc.
Thus, special commands may need different processing than the usual task before the app provides the result to the user. You need a pipeline for the queries asked and the produced results for this function.
Methods to Create a Voice Assistant App Like Alexa?
There are three primary methods for developing a voice assistant app-
Junior Method:
In which you can integrate voice assistant technology through APIs. You need to get a Voice Kit available in the market, and it will enable you to build your own Voice Assistant App.
Middle Method:
You can use open-source services and APIs to build a voice assistant app like Alexa in this method. Some services that you can use to create this app are Melissa, Jasper, and Api.ai.
Senior Method:
In this method, you develop the voice assistant from scratch and integrate it into the mobile app. You can use Google’s Tensorflow and Amazon Machine Learning for creating such an application. Only use this method when you have prior experience in machine learning.
Conclusion
We hope that the aforementioned methods will help you develop a voice assistant app. It may sound easy to build such an application from scratch, but you will get to know the actual process once you dive into the development process.
However, there are so many things to consider while developing such an application, such as finding the right platform, fulfilling end-user demand, providing a seamless user experience, preparing a feature list, and so much more.
If you follow the guidelines of this blog, it will be possible for you to build an app like Alexa.
Author’s Bio
Tom Hardy is a Sr. Android App Developer in Sparx IT Solutions with 6 years of experience. He is researching technologies like AI, NLP, and ML. In his free time, he likes to write articles and share his knowledge to the world through blogging.
