How to Develop a Voice Recognition App?

How to develop a voice recognition app

Are you still offering your customers the traditional searching and app-accessing functionalities? Maybe it’s high time you invest in voice recognition app development for a user-friendly and profitable business!

The rise of artificial intelligence brought about many significant changes in the digital business world, and voice recognition apps are indeed one of those. Whether we talk about video streaming apps, healthcare apps, or even search engines, including Google, the voice recognition technology has taken over a large chunk of the global sector. But, what exactly is a voice recognition application, and how does it prove beneficial for your business and customers? Let’s take a closer look at it!

What is a Voice Recognition System?

Voice recognition is an intelligent technique through which words, sounds, or phrases of humans are converted into a machine-understandable format, and accordingly, an output is generated. The voice signals are first converted into electric signals and then to codes that are finally analyzed by the application. Voice recognition app development not just ensures an interactive and user-friendly search but even makes other processes like listening to music, watching movies, and calling easier for your users. With happy users comes better revenues, profits, and higher brand value in the market. Not to mention, the perks of free advertising with an excellent user experience also adds to your business growth. That’s why businesses across the globe have already implemented or are in the process of investing in voice recognition app development!

Why Invest in a Voice Recognition App – Latest Market Trends

Alexa, Siri, or Google Assistant, the voice recognition technology, has come a long way today to provide ease and efficiency to the users and boost the profits and brand value for the companies. Well, at least that’s what the figures say!

  • As per Statista, the market for voice recognition technology is expected to reach $27.16 billion by the year 2025. 
  • In 2020, there were already 4.2 billion digital voice assistants that people used. This number is also expected to reach 8.2 billion by the year 2024!
  • 55% of the USA’s households alone are expected to have a smart speaker in their homes by 2022.
  • Almost 72% of the people admitted that voice searches in mobiles had become a part of their daily routines.
  • Mobile users around the globe are three times more likely to use voice searches than traditional searches.
  • 31% of smartphone users worldwide use voice searches at least once a week.

Fascinating, isn’t it? But, how could you get started with a successful and cost-effective voice recognition app development that is perfectly catered to your business needs? Well, the answer is simple – with a reputed and experienced app development company!

So, today, as an expert in voice recognition app development, we are listing some critical steps you need to consider while developing your custom voice recognition app. Let’s get started!

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Getting Started With Voice Recognition App Development

1. Select the type of Voice Recognition App

The foremost thing you need to consider is the type of voice recognition app you want to develop. There are two significant types of voice recognition apps – speaker-dependent apps and speaker-independent apps. What’s the difference between the two? 

Well, as the name suggests, speaker-dependent voice recognition apps work only on a predefined template. To put it simply, these apps can identify the words or phrases of a particular person that too, when trained perfectly. Once the training period is completed, the speaker-dependent voice recognition app performs various tasks with a voice as an input of that particular speaker. You can use this app for your business security purpose or user security in your custom apps.

On the other hand, a speaker-independent voice recognition app can understand the voice of multiple users to give a specific outcome. These types of voice recognition apps are processed on Fourier transformation or Linear Predictive Coding principles that can analyze and compare various voices with the ideal voice. That means users with different pitches, amplitudes, accents, and tones could easily use speaker-independent voice recognition apps to access voice-based functionalities. Not to mention, popular voice recognition apps like Alexa and Siri are speaker-independent apps. So similarly, you can also develop an app like Siri or Alexa with this kind of voice recognition app development.

Read More: How to Make an App like Siri?

2. Focus on Core Technologies and API

Once you have selected the type of voice recognition app based on your requirements, the next crucial aspect is to finalize the tech-stack for your voice recognition app development. Coding with the right resources and tech-stack makes your work much easier and more effective than starting from scratch, especially when you are starting new. 

However, a clear understanding of the reliable and latest tech stack and API is still what most people don’t have. That’s where experts come to play! So, to help you with voice recognition app development, we have mentioned some popular and effective tech stacks and APIs that you could include in your app development. 

  • Programming Languages

To begin with voice recognition app development, you need to choose an efficient programming language that could become the base for your voice recognition app development. Many options could go with a voice recognition app, but generally, Python is preferred as the topmost language for this purpose.

The reason being, Python, has very little complexity and offers excellent user-friendliness even to people who are new to programming. Besides that, it supports many APIs and libraries that are best to enhance voice recognition app development. 

Besides Python, you can also use PHP or JavaScript for web applications. The use of C# is also known in voice recognition app development. 

  • APIs

There are various types of APIs that you can choose for your voice recognition app development depending on the features you wish to include. However, some APIs are needed to make your voice recognition app a hit in the market.

Google Speech API Google’s AI-powered API that transcribes the speech into the text in real-time.
Bing Speech API This API converts your speech to text, transforms the speech, and then converts the text back to speech.
Amazon Alexa Integrates Alexa in your devices, so that the customers can directly get their answers in an audio format easily and efficiently. 
Speech-to-Text API Convert audio to text and help the users to search anything, or play videos and music on the app.
SpeechAPI This API suppresses the background noises for the user, so that the audio segments can be analyzed by the app more effectively.
Rev.AI API It converts the speech-to-text including punctuations, capitalization, and conversion from live streaming videos.
ReadSpeaker API A unique API that converts the text or output from the app into audio format for the users.

All these APIs help you convert the user’s text into speech, or vice versa easily. Apart from that, there are various other third-party APIs like Nuance’ Automatic Speech Recognition, Speech 2 Topics, and Wit API that can further enhance the working of your custom voice recognition app. 

  • Libraries

Similar to APIs, libraries also play a crucial role when it comes to efficient and custom voice-recognition app development. So, below we have mentioned some of the open-source libraries for your custom voice recognition app, that are fast, accurate, and free!

CMU Sphinx This library is written in Java, but you can use it easily with any other programming language lille Python, or C# to develop an advanced voice recognition application. 
PyTorch PyTorch is another great Python-based library that converts the speech into text for your voice recognition application. 
HTK Owned by Microsoft, this library is used in statistical analysis modelling techniques that can analyze speech, characters, and can transform the speech to text format.

You can surely use other libraries including these as per your project requirements and customizations. 

3. Deciding the Features of your Voice Recognition App

Besides tech-stack and libraries, features also play a critical role in defining the scope of your voice recognition app. For instance, if you are planning for a voice recognition search app, then you may need to include image search and manual search options along with voice-based searches. Apart from that, the smartphone voice assistants even include noise suppressing APIs and other programming platforms.

Similarly, if you are planning to develop a virtual assistant app, then the use of AI and ML algorithms along with natural language processing would do the work. In that case, you may need to include some other functionalities like play music on the tap, or call from voice commands, or switch the fan off, and much more. Hence, only having a clear idea of what type of voice recognition app you want will help you decide the features.

4. Other Capabilities to be Included

Besides the features and standard voice recognition APIs, you may need to add other capabilities to your voice recognition app to succeed in today’s competitive world. Like we have already seen, every other person today’s uses voice recognition apps for their day-to-day work. Hence, it is clear that many of the companies are in this field.

So, if you want to make your app a hit, adding extra capabilities would work. Again, those capabilities will purely depend on the type of voice recognition app you want to develop. However, some smart AI capabilities like 

  • Natural language understanding 
  • Self-learning ML algorithms
  • Deep learning models 
  • Speech and Image recognition would surely help you stand apart from the other competitors. 

Still, the best way would be to consult with an expert voice recognition app development company that could offer you the best and profitable voice recognition app idea along with features and extra capabilities.

5. Finalizing a Team of App Developers

After all the research and validation part is done, you will need a dedicated team of tech-savvy developers and testers that could help you develop your custom voice recognition app at cost-effective rates and least possible time. 

Resources including, but not limited to:

  • Project Manager
  • Front-end Developers
  • Backend Developer
  • Tester
  • API Developers
  • UI/UX Designer, and so on would be required to transform your app idea into a reality. 

However, finding the perfect tech-savvy and experienced engineers for your app development is a daunting task, especially for the ones who are starting new. So, what could be the solution?

Simple, reaching out to a reputed and cost-effective software engineering firm like Matellio! An experienced firm could offer you the most techno-friendly and reliable resources for your project at the best competitive prices. 

Other Key Consideration in Voice Recognition App Development

  • Analyze and Validate Your Project Idea

The first and foremost thing that you need to do before starting any project is analyzing and validating your idea with experts. You need to clearly understand the underlying problem and the solution that your app will offer. 

Besides that, you also need to validate your app idea with experts. All the features, tech-stack, and designs need to be reliable and trendy, and who better than an expert could help you in these things? 

That’s why to look for a software engineering company that offers a comprehensive range of services, including consultation, development, and testing. That way, you don’t have to spend extra on consultation and hiring dedicated professionals for your voice recognition app development.

  • Decide what Technical Capabilities are Needed

Depending upon your type of voice recognition app development, you may need to add some technical capabilities to your project. All these technical capabilities would indeed include one or more aspects of AI as voice recognition is itself an application of artificial intelligence. Hence, tech tools like machine learning algorithms, natural language processing, Acoustic modelling for speech recognition, and automatic speech recognition system would work great.

Apart from that, other tech tools like Cloud Speech API for speech to text function and Clarfai API for image recognition would also work best for your advanced features. Similarly, you will need speech recognition accuracy measuring tools and APIs to accurately measure your voice recognition app’s effectiveness.

  • UI/UX is Important

Apart from tech-stack and advanced features, another thing that can impact your voice recognition app development is the UI/UX of your app. UI refers to the user interface, or the screen that your customers will see, whereas UX refers to the experience that your app will offer to the customers. 

So, if you have the most simplistic design, and accessible features, then the UI and UX of your app will eventually become excellent, and hence, more customers will be attracted to your app. People will find it easy to use your app over your competitors, and hence, you will gain more popularity, revenues, and profits. Hence, try to include the best UI/UX designer in your app. Or else connect with a reputed app development firm that can handle all your requirements efficiently. 

Read More: Top 7 Tips to Hire the Best UI/UX Designer

  • Do Not Forget Testing

    Last but not least, we have testing services, the most crucial aspect in voice recognition app development. It is often seen that many businesses skip testing to save time and cost for their app development. As a result, they experience glitches and errors in their app that eventually hampers their brand image in the market. Indeed, you wouldn’t want this to happen to your voice recognition app!

    That’s why always opt for testing services (whether manual or automated) to ensure a smooth and efficient app development that perfectly matches your level of services. You can ask your app development partner whether or not they provide testing services with app development. 

    Remember, an experienced and reliable app development firm always offers testing as an integral part of their app development services.

That’s where Matellio comes in!

With over 15+ years of experience and access to some of the best resources globally, we, at Matellio, have been an endless choice of businesses when it comes to custom app development. Our comprehensive range of professional services and reliable yet trendy app development has benefited many businesses of various verticals in the market. Our proficient and certified developers have always been applauded many times for their quick and efficient delivery and modern agile development approach to voice recognition app development. 

From expert consultation and development to UI/UX and testing and even upgradation and maintenance, we offer every service you need to make your voice recognition app a hit in the market. So, please don’t wait and get started with a result-oriented and user-friendly voice recognition app development with our free consultation .

Till then, Happy Reading!

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