Voice Recognition App Development
17 May

How to Develop a Voice Recognition App?

Mahipal Nehra

Are you looking for a voice recognition app? Before that, you need to explore all its aspects. This blog has it all like steps of voice recognition app development, It's advantages, how it works, challenges, examples, and how much it costs. The article has likely covered all the points you need to consider before indulging in the development process.

According to an Industry Forecast, the market size of voice recognition apps is expected to reach USD 4.74 billion by 2030 at a CAGR of 16.4%. The rise of AI brings significant changes in the digital business world. Voice recognition technology is one of them that has taken over a large chunk of global sectors including healthcare, banking, smart home, retail, and automobile sectors.

Adopting voice identification passwords, especially in the banking and healthcare industries can enhance security. This advanced technology provides an additional layer of protection that can prevent unauthorized access and safeguard sensitive data. Let’s explore all the other aspects of voice recognition app development.

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What is a Voice Recognition App?

A voice recognition app is a software application that captures and converts speech via a microphone and other tools. The process of converting voice involves an AI-based technique that converts words, phrases, and sounds into machine language, then an output is generated in text.

This technology involves complex algorithms and models that analyze patterns, phonetics, and languages and convert them into a data form.

How Does a Voice Recognition App Work?

The voice recognition process involves a series of complex sequences that transform words, sounds, and phrases into text. Here is a simplified process of how it works.

  • Audio Input- When a user speaks in any input device, the device records the audio signal containing the uttered words.

  • Preprocessing- Then preprocessing eliminates background noise and enhances audio quality.

  • Feature Extraction- This step involves the transformation of audio signals into numerical serials that capture the recorded frequency, pitch, and more.

  • Acoustic Modeling- This step involves the identification of phonetic patterns that match the pre-recorded sounds to recognize words.

  • Language Modeling- Further it predicts recognized words in the context of surrounding words and chooses the most suitable sequence of words based on grammar and language rules.

  • Decoding- Both acoustic and language models work together to decode the audio and represent the most accurate words.

  • Output- The executed action is a text transcribed through the voice recognition app.

Advantages of Voice Recognition App

Voice recognition apps can provide a wide range of advantages to businesses in various sectors. Here are some of the benefits,

Increase productivity

The voice recognition software provides efficient task-management duties, such as setting up calls, and meetings, scheduling interviews, and taking notes. It also transcribes the text faster than a human type which leads to increased productivity.


The voice recognition software assists people with disabilities who have trouble typing, enabling them to communicate more efficiently through voice and breaking down barriers to promote prevalence.

Save time

The software transcribes faster compared to the standard time of a human typing which saves time and can be used in more demanding tasks.

Real-time Speech-to-text

Some sectors require immediate transcription, with real-time speech-to-text it is easy to transcribe speech and allow immediate accessibility.

Personalized Assistance

Virtual assistants like Amazon Alexa, Siri, and Google Assistant voice recognition allow personalized assistance such as playing recommended songs, setting an alarm, or sharing weather updates.

Security and Authentication

Voice recognition can also be used in biometric authentication as each one of us has a unique voice. This can secure devices, applications, and sensitive information.

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How to Develop a Voice Recognition App?

There are 6 steps to developing a Voice Recognition app. This process takes time, however you can consider the following steps to build righteous software based on your requirements. 

Step 1- Planning

The first step is to create a roadmap through market analysis. It is essential to understand customer needs and current trends, which will allow you to determine the niche and baseline to consider. Also, it's important to acknowledge the existing tools that can save time and development costs.

Step 2- Create Specifications

The next step is to create specifications which will be the basis for the development of code considering the selected features for the app. To catch the eye, the project needs a few additional features such as speaker diarization, content filtering, etc.

Step 3- Hire Development Company/ Developers

This step requires a team of developers or an outsourcing company to go further with the app. While choosing the development team you need to keep some factors in mind such as what technologies they use, what the procedure is to develop an app, and how much experience developers have.

Step 4- Designing and Code Implementation

This step requires developing a convenient and engaging app. Using the developers' help and innovative suggestions, you can get a unique user interface for your project.

Further, the process of code development begins, where the developer builds code considering the requirements of the clients and specifications. Developing a speech recognition system involves creating algorithms for neural networks and machine learning.

Step 5- Testing

Before an application is delivered to the end user, it goes through a testing process. This process of evaluating and verifying that a software product or application does what it's supposed to do seamlessly.

This step enables you to identify any flaws in the system and voice recognition methods before your customers use the product. The testing process ensures the client receives high-quality software and the users get flawless results.

Step 6- Deploy & Maintain

Once the development and testing is complete, the app is ready to deploy. This doesn’t end here, it also requires the maintenance of the app to ensure the flawless working of features and functionality or to update it further. The voice recognition app needs continuous updation to meet the current trends and market requirements.

Challenges Faced While Developing a Voice Recognition App

There are major challenges to consider, that you might face while developing a voice recognition app. Below, you can find solutions to help you avoid these challenges.

Challenges Faced While Developing a Voice Recognition App


The accuracy of the converted text should be high which can be challenging because of many factors such as background noise, gaps in words/ phrases, and cross-talk.

The software sometimes is unable to convert such text in order to resolve this challenge you can make sure to select a microphone with good directivity, leverage noise reduction filters, and know the user’s environment before developing the app.

Language/ Accent

There are over 7,000 languages spoken around the world, making it challenging to cover them all. It is crucial to consider the languages, accents, and dialects of the specific location where you plan to deploy.

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Data Privacy and Security

Another challenge that causes hindrances in development and implementation is privacy and security. Some applications collect data to improve accuracy and performance.

This makes the data vulnerable to hackers and other security threats. Developers can provide a feature where users can choose to keep their data private by selecting options such as limited data collection, no data collection, or full data collection.


An app requires appropriate resources and technology, as mentioned earlier the process of developing a voice recognition app and hiring a particular development team or a software development company can be expensive.

The best option is to do market research and create a budget considering the features required in the app. You can also consider outsourcing the development process if you find the development process expensive.

Examples of AI/ ML Voice Recognition App

Here are some popular examples of AI/ ML voice recognition apps.

Dragon Anywhere

Dragon Anywhere is a software that allows you to dictate and edit documents of any length by voice on both Android and IOS mobile devices. It was developed by Nuance Communications in 1997.

Google Cloud Speech API

Google Cloud Speech API enables you to send audio and receive text transcription with easy integration of Google speech recognition technologies.


Siri, which stands for Speech Interpretation and Recognition Interface, is Apple's AI-powered virtual assistant. It supports over 20 languages on Apple devices and helps users with tasks such as planning their day, checking the weather, managing scheduled meetings, and conducting online searches.

Amazon Lex

Amazon Lex is an AWS service that powers Google Alexa enabling you to build conversational interfaces using voice commands and text.

How Much Does a Voice Recognition App Cost?

The cost of an app depends on various factors such as technologies used, features and functionalities, and resources. However, the estimate is around $30,000- $2,50,000.

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Get Your Voice Recognition App Customized

Feel free to reach out to us for the exact cost. Our expert developers can assist you in creating a voice recognition app. Decipher Zone utilizes updated tools, programming languages, frameworks, libraries, and cloud services to provide you with top-notch service at the best price!

Posted by Mahipal Nehra | Posted at 17 May, 2024 Web