Basics of Voice Assistant To Build Native Mobile Application

Voice assistant or AI assistant is an application that identifies human speech and carries outs users command. The app is powered by AI and bases its performance on cloud storage. The assistants are not restricted to particular languages or vocabularies; they can perform their duties in any language. There are two types of basic voice assistant software; they include consumer-facing voice assistants for homes and chatbots and virtual assistants for workplaces.

Basic definitions, differences, and similarities

  • Intelligent personal assistant-This software assists users with basic tasks, especially on natural language. It can go online and search for a specific answer for the user’s question. Text or voice can trigger an action.
  • Automated Personal Assistant-The term is synonymous with an intelligent personal assistant.
  • Smart Assistant-The term usually reefer the types of physical items that can provide various services by using smart speakers which listen for a wake word which become active and perform specific tasks.
  • Virtual Digital Assistants-These are automated applications that assist users in understanding natural language in either written or spoken form.
  • Chatbot-Text is the only way you can get assistance from chatbot. Chatbots can stimulate conversations with human users. Mostly, companies use them in the customer service sector to answer basic questions. They also connect with live people.
  • Voice Assistant-A voice assistant is a digital assistant that uses speech synthesis, voice recognition, and natural language processing to provide services through a particular application.

Speech recognition process

Most executions of voice assistant applications rely on Automatic Speech Recognition (ASR) system. The system receives the speech and then breaks it into phonemes, which later are processed to texts. A phoneme is the standard measurement for human speech recognition. These units produce a better result than word decoding processing. ASR is the driving force for the whole exercise. Before deciding which software you’ll use get acquainted with ASR. The device gathers audio content; the speech waveform gets straight to acoustic analysis which occurs in three different levels. They are:

  • Acoustic modelling – This represents the way phonemes pronounced and the word the phonemes complete
  • Pronunciation modelling – The level analyses pronunciation of phonemes, that’s from accent to vocal apparatus peculiarities.
  • Language modelling – it’s primary objective is to find contextual probabilities of the captured phonemes.

The data is processed without human interaction. There are a few errors that occur as a result of improvements enforced by machine learning. The data of speech waveforms is then transmitted to the decoder, where the data transforms to text for further uses such as dictation and command.

Artificial intelligence has improved the efficiency of current voice assistant apps; they don’t rely on a limited vocabulary; instead, they use cloud storage which has millions of word and phrases. The machine listens to the whole speech, not each word separately. This method allows the apps to analyze context and probabilities to determine what is spoken. This is similar to the mental activity of our brains.

Practical application of voice assistant

The main aim of voice technology is to exploit more from devices. Sending of voice commands improves communication between users and gadgets. It also makes users get more familiar with their gadgets features. With busy schedules and strict office measures, people are not able to sit down and write broader texts. Voice assistant comes in and helps these kinds of situation. Users get in touch easily through the apps. The emergence of neutral networks and natural languages make voice control standard across numerous products.

Which actions can voice-controlled device perform?

  • Sending updates on topics without searching for them.
  • Reporting weather changes
  • Setting alarms and reminders
  • Performing real-time translations
  • Controlling other devices such as lighting and PCs
  • Reading emails and other documents loud
  • Adding events and meetings to the calendar
  • Finding local business and contractors

Uses of voice assistants

Where can you use voice assistants? Nowadays every almost every device utilizes voice assistants. They are either in our smartphones or inside elegant speakers in our homes. Many operating systems and mobile apps use them. Also, cars, retail, education, telecommunication, and healthcare can be operated by voices.

Popular voice assistants

Siri by Apple was the first virtual assistant in 2011; it moved into the smart speakers’ universe in 2018. Then it was followed by other voice assistants such as Google Assistant. Smart speakers such as Alexa and Hey Google came along. IBM has Watson, Samsung has Bixby, Microsoft has Cortana, Nuance has Nina, and Facebook had Facebook Messenger app till January 2018. Make a decision putting your interests first.

Read Also: The Basics of Voice Assistants Explained


Technology is taking control of every human operation. Voice assistants are taking communication to another level. People are not anymore straining to call or write messages. They only record themselves, and everything is done for them. This has made people concentrate on what they are doing without taking much time in texting and calling.