Are you still offering your customers the traditional searching and app-accessing functionalities? If yes, then It’s high time you invested in voice recognition app development for more efficient business practices and amazing user experiences!
The rise of artificial intelligence brought about many significant changes in the digital business world, and voice recognition apps are indeed one of those changes. Whether we talk about video streaming apps, healthcare apps, or even search engines, including industry behemoths like Google, the voice recognition technology has taken over a large chunk of the global sector.
Today, in an effort to build better digital tools, businesses are looking for firms that provide next-gen app development services and have the talent and tools to include features like voice recognition.
But, what exactly is a voice recognition application, and how does it benefit businesses and customers? We will answer all these questions and more in this article.
- Voice recognition apps are a booming market with a lot to offer to both customers and businesses.
- With the ease to say their commands out loud instead of typing them, customers can multi-task better and thus experience a much smoother interaction with machines.
- Voice recognition apps are AI-based apps. A sophisticated AI engine understands the user’s voice commands and then converts them into machine understandable form. Then the commands are processed by the machine and a final outcome is presented to the users again in speech format.
- To build a high-quality voice recognition app, you need an experienced firm that offers an assortment of cost-effective app development services. Voice recognition app development is a risky and complex task, and having an experienced technology partner in your corner will help you reduce the risk of failure.
What Is a Voice Recognition System?
Voice recognition is an AI-based technique through which words, sounds, or phrases uttered by humans are converted into a machine-understandable format, and accordingly, an output is then generated by these machines. The voice signals are first converted into electric signals and then to codes that are finally analysed by the application. Voice recognition app development not only ensures an interactive and user-friendly search but also makes other processes like listening to music, watching movies, and calling people over the phone 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 advertisement with an excellent user experience also adds to your business growth. That’s why businesses across the globe have started to invest 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, it provides ease and efficiency to the users and can boost the profits and brand value for the companies.
- 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.
But now that we understand that voice-recognition apps is the technology of tomorrow, the next question that comes to mind is: how can you get started with a successful and cost-effective voice recognition app development that is perfectly tailored according to your business needs? Well, the answer is simple – with a reputed and experienced app development company!
While you can go for in-house development, do keep in mind that in-house voice recognition app development is very costly. Not only will you be responsible for hiring and then paying full-time talent, you will also be responsible for providing and then maintaining all the infrastructure. Furthermore, you will have to take care of all the other expenses such as electricity bills, etc. So unless you have great investors, your best bet is hiring a firm that provides quality app development services.
By hiring a development team, you can drastically decrease the amount of monthly expenses you’d otherwise have to deal with in the case of in-house development. But if you still want to develop your app in-house, not all your hires have to be full-time. Instead, you can hire only the core staff full-time and for the rest of your staffing needs, you can contact a staff augmentation company.
Matellio has years of experience creating apps with net-gen technologies such as IoT and voice recognition at their cores. And in this article, we have listed out some critical steps you need to consider while developing your custom voice recognition app. So, let’s get started!
Getting Started with Voice Recognition App Development
1. Select the Type of Voice Recognition App
The first thing you need to consider is the type of voice recognition app you want to develop. There are two primary 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 and 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 the scratch, especially when you are starting new.
However, a clear understanding of the reliable and latest tech stack and APIs 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.
To begin with voice recognition app development, you need to choose a programming language that could become the base for your voice recognition app development. There are many options in the case of a voice recognition app, but generally, Python is preferred as the best language for this building such apps.
The reason being that 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.
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.|
The above-mentioned APIs will help you convert the user’s text into speech, or vice versa easily. Furthermore, 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.
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.|
The above list is by no means exhaustive and there are plenty of libraries that you can use to build an app that meets your requirements.
3. Deciding the Features of Your Voice Recognition App
An app is only as good as the features it offers. While not all apps have to be packed to the brim with features to be amazing, in fact sometimes a well-designed core feature is enough for app to serve its intended objective, an assortment of good and well thought out features can really elevate the quality and utility 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. Furthermore, 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.
At the end of the day, the features you choose to add to your app, depend on your requirements and the intended users and their needs.
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 uses voice recognition apps for their day-to-day work. Therefore, the market is saturated with competition. That is why, if you want to make your app standout from the rest of herd, adding extra capabilities is the way to go. 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 to decide which capabilities you should add would be to consult with an expert voice recognition app development company that provides consultation and app development services. Such a company can help you plan your app and decide which capabilities are essential for your needs.
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
- 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 development firm that also offers QA testing, next-gen tech integration, DevOps consulting services, etc. 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 to help you in these things?
That’s why it’s prudent to look for a software engineering company that offers consultation, app development services, 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 are a necessity.
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 more customers will be attracted to your app. People will find it easy to use your app over your competitors, and you will gain more popularity, revenues, and profits. Therefore, try to add the best UI/UX designers to your app development journey.
Read More: Top 7 Tips to Hire the Best UI/UX Designer
Do Not Forget Testing
Last but not least, we have testing services, one of the most crucial aspects 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 hamper 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 the perpetual choice of businesses when it comes to custom app development services. Our comprehensive range of professional services and reliable yet trendy app development has benefited many businesses of various verticals in the market. Our team of experiences developers, designers, and QA engineers excel at building technologically sound apps with amazing UIs. We adhere to the agile development approach to voice recognition app development and our DevOps consulting services and experts help us build high-quality apps faster.
If you are looking to develop a custom voice recognition app, then contact us and book free consultation .
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