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Voice Technology as a Digital Disruption

Digital disruption is a modification that is caused by emerging digital technologies. The innovative technologies and models can impact the existing market, its value, or services that have been provided in the industry for years. The term “disruption” is used since all innovations cause the market to renovate and adapt to the present and future needs of consumers. As of today’s user base, everyone is interested in less time-consuming and easy-to-use tools.


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Vlad Yashchyshyn

3 years ago | 5 min read

Digital disruption is a modification that is caused by emerging digital technologies. The innovative technologies and models can impact the existing market, its value, or services that have been provided in the industry for years. The term “disruption” is used since all innovations cause the market to renovate and adapt to the present and future needs of consumers. As of today’s user base, everyone is interested in less time-consuming and easy-to-use tools. That’s why there was no surprise when digital development came out with Voice AI (Artificial Intelligence).

What is voice technology?

Voice technology allows for hands-free control of smartphones, speakers, and even vehicles in a wide variety of languages. Basically, voice technology is a combination of speech recognition, hands-free networking, and other complex technologies. Altogether, they enable us to use voice commands to run devices and perform internet searches.

So how does it work? Voice AI is based on understanding the human language and interpreting the latter to offer matching results. Below you can find the steps involved in speech recognition:

  1. Converting the speech into text

The first step of the process is to understand the speech of a speaker. Companies use the pre-speech recognition technique for this stage, dividing the sound into bits. When words are converted into bits, they are easily recognized by the system.

  1. Filtering surrounding sounds

There are chances that in addition to the words spoken by the user, some encircling sounds may be picked up by the voice recognition technology. Thus, the Voice AI should separate the message from noise with the help of a neural network.

  1. Shift to neural processing

Voice AI is based on the neural networks that replicate neurons in a human brain. The task here is to analyze every single letter in a sentence and find the linking element. The Voice AI tries to analyze the sentence’s meaning and match it with the best possible outcomes.

  1. Syntactic and semantic techniques

The use of syntactic and semantic techniques for analyzing text allows for a deeper understanding of the context under contemplation. The syntactic analysis further breaks down the natural language for the grammatical rules, while the semantic one provides for the meaning of sentences and words.

  1. Response evaluation

At this stage, the Voice AI analyses the most potential solution and filters the responses to find the perfect match to the query.

  1. Response

In the last step, the user is provided with the response from the Voice AI. Also, it saves the response for future reference in the audio format.

When it comes to speech recognition, one could divide it into 3 stages:

  • Automatic speech recognition (ASR): Transcribing the audio
  • Natural language processing (NLP): Deriving meaning from speech data and the subsequent transcribed text
  • Text-to-speech conversion (TTS): Converts text to human-like speech

Generally speaking, voice technology works by breaking down the audio of a speech into individual sounds, analyzing each sound, using algorithms to find the most likely word to fit in that language, and transcribing those sounds into text.

Why integrate voice technology in mobile apps

The growth of voice technologies nowadays is so fast that more than half of mobile app users are projected to use them in a few years to come. Voice technology integration has thus become a trend among many mobile app development companies. The demand for voice-enabled applications will only increase in the coming years, so integrating the Voice AI in mobile apps will soon become a demand.

Several new mobile applications provide the feature of translating voice into text. It improves the app’s usability and helps the user to complete tasks faster. The way voice technology serves in applications development is different, but the motive is the same - easy interaction. This is just one of many aspects in which an app development company can help you.

According to statistics, 40% of adults now use mobile voice search at least once a day. Thus, integrating voice-tech into mobile apps has become the hottest trend recently and will remain so because the voice is a natural user interface (NUI). If you are still hesitating whether to add Voice AI to your app, here are the major to-buy factors:

  • Interaction with apps in a hands-free mode

Mobile apps are frequently used as shopping platforms or sources of information. Voice-enabled apps let mobile users spend less time and effort to pay or receive information that can lead to payment.

  • Voice searches are fun

Voice recognition app development facilitates the simple performance of voice searches by mobile users for finding information. On the backend, this provides valuable insights into behaviors and likings of mobile users.

  • Competition mood on

Only a small segment of mobile apps are making use of voice technologies for now. Mentioning that your app has Voice AI in app stores naturally earns you a special place.

  • Customer centricity

Mobile apps with voice technology greatly increase customer satisfaction and user-friendliness of these apps. Users are relieved from the necessity to double-click on their keyboards multiple times or take a tour through the application for performing a single task. Voice control saves time for users, allows them to use many features hands-free, and doesn’t need additional effort - very user-friendly, isn’t it?

  • Less screen time

Voice AI apps offer the opportunity of making mobile applications reachable with just voice and without having to use the screen or the keypad. A user doesn't even have to look at the screen if he needs to turn on his favorite song, for example. This new level of voice UI (User Interface) design turns the mobile app into quite an attractive, useful, and engaging tool.

Voice Recognition Apps Disrupt Industries

The application using voice technology has penetrated into such areas as Gaming, Podcasts, E-commerce, Healthcare, and more, which benefited consumers across countless aspects of their user journeys.

  • E-commerce

With voice assistants constantly improving and learning how to recognize the vocal characteristics, measure, and accent of individuals, the future of voice assistants in the e-commerce space is expected to grow exponentially. Assistants are being inserted in a wide range of devices, including smartphones, smart speakers, televisions, home appliances, and even cars.

  • Healthcare

Voice assistants have two major groups of potential users in healthcare: physicians and patients. Physicians often utilize programs to take patient notes, process data, and access records. A virtual 24-hour assistant answering patients' queries will reduce the time spent in hospitals. Also, it may help the patients to control lighting and heating, freeing up the hands of medical representatives in the hospital.

  • Legal Sphere

Voice recognition apps allow quickly and accurately recording and finding any information that guarantees the fairness of law enforcement agencies. By reducing the time for repetitive tasks, legal officials will be able to spend more time on really important tasks.

  • Financial Sphere

The use of voice assistants helps to automate the provision of financial planning advice, achieve investment goals, optimize liquidity management, portfolio rebalancing activities, and much more.

  • Criminalistics

The use of voice recognition technology may keep society secure. By comparing voices, the security team has more chances to search for and eventually find a person.

  • Education

Voice technology helps teachers to automate writing progress reports, sending email assignments, updates, and even marks to the students. Voice assistants can reduce the time of preparation for the teacher as well.

Conclusion

Voice recognition technology will help to transfer many of the required commands into the oral type thereby increasing the efficiency and speed of not only work but life overall. Soon, Voice AI will be used to cover at least 50% of users’ demands. It's a great time to hit the market while Voice AI is still developing. If you are a modern app developer, voice technologies are definitely a crucial feature to be integrated. What you may need in the pursuit of your digital transformation success is a reliable partner by your side. Still not sure how to choose a mobile app development company to collaborate with? Contact us now, and we will help you to stay ahead of the curve!

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