The traditional method of searching and assessing apps has included queries in the form of text only. However, with the evolution of technologies and the introduction of new technologies like AI and ML, things have changed drastically. Users now prefer to search through their voice, and that’s why voice recognition app development has witnessed huge growth in the last few years.
Voice recognition apps are amongst the most welcoming outcomes of artificial intelligence. Whether it is a video streaming app, e-commerce app, healthcare app, or search engine like Google, voice recognition technology has taken over a large chunk of the global sector.
Thus, the voice recognition mobile app development market is in demand by businesses that want to build better digital tools. They are looking to hire mobile app developers who can build these apps with the latest tools and technologies.
In this article, we will go through various aspects of voice recognition app development. Let’s begin with the basics.
What is a Voice Recognition App?
A voice recognition app is a computer application that can take inputs in the form of human voice, interpret these inputs, and transcribe them into texts. The app breaks down the speech format audio into individual sounds. Then, it employs Natural Language Processing (NLP) algorithms to analyze it further and derive the relevant meaning. Eventually, it converts those sounds into a digitized format and translates them into text.
It should be noted that voice recognition apps are not the same as speech recognition apps. The aim of speech recognition is to just detect and understand any speech, while the voice recognition app focuses on analyzing any audio input and identifying patterns. Furthermore, it matches those patterns with database knowledge to identify who speaks and how they sound.
A voice recognition app facilitates interactive and user-friendly search for users. It also makes other processes like listening to music, watching movies, and calling other people easier for users.
Market Statistics According To 2024:
As per Statista, by the year 2025, the voice recognition technology market will hit a valuation of $27.16 billion. There were already 4.2 billion who used digital voice assistants in 2020. By this year, i.e., 2024, this number is expected to reach 8.2 billion.
By 2029, the market is expected to reach a valuation of $42.08 billion. The CAGR during this period is a whopping 22.98%. In comparison to any other technology or industry, this CAGR is really very high.
There can be ample reasons for such high growth. This is probably due to the high usage of voice recognition technology in various industries like retail, banking, healthcare, and others.
Amazing Features To Add in a Voice Recognition App:
Apart from the usual MVP (Minimum Viable Product) features, we offer specialized services powered by AI/ML techniques in a voice recognition app. These are a few of our offerings:
a. Voice Recognition Analytics:
We build voice recognition app with analytical solutions of a robust search engine. It will analyze phrases, keywords, and speaker sentiments in real time to comprehend the direction of a speech.
b. Knowledge Extraction:
We integrate a knowledge extraction module in a voice recognition app. It helps discover record content by extracting keywords and generating topics from recordings. It helps in delivering a customized customer experience.
c. Automated Speaker Separation:
We develop voice recognition app with AI that offer automated speaker voice separation. It divides the agents’ and clients’ speech segments to improve speech analytics.
d. Voice Sentiment Analysis:
AI in voice recognition app development also helps identify the emotions and sentiments of speakers. Companies and businesses can use this technology to improve customer interactions by having tone sentiments and contextual awareness.
e. Data Privacy:
Just like fingerprints, the voice of a person is also unique. We develop voice recognition app that compares and analyzes two recordings that improve the security of data.
f. Voice Interaction Analytics:
Voice interactions are a great way to get data and extract it to generate valuable insights. The app collects the interactions and transforms them into coherent data, which improves operational efficiency.
Read More: Voice User Interface Design
How does a Voice Recognition App Works?
A voice recognition app has to perform a series of complex steps to transform human voice sound into meaningful results. Here is a simplified process of its working:
Audio Input:
The app will first take input from the users in the form of an audio signal containing the uttered words.
Pre-processing:
In the pre-processing stage, background noise will be eliminated and audio quality enhanced.
Feature Extraction:
In this step, the audio signals will be transformed into numerical series. It will capture the recorded frequency, pitch, and more.
Acoustic Modeling:
Acoustic modeling identifies phonetic patterns that match the pre-recorded sounds to recognize words.
Language Modeling:
The app will predict recognized words in the context of surrounding words and choose 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 could be a text result, an action, or a voice-based answer through the voice recognition app.
Explore More: Image Recognition App Development
Reasons To Invest in a Voice Recognition App:
The voice recognition app development will offer a huge range of benefits to users and businesses in various aspects. Here are the most implicit benefits:
a. Increase Productivity of Users:
Users have to perform multiple tasks or duties on a regular basis. It includes calling people, scheduling meetings, buying stuff online, taking notes, setting alarms, etc. With a voice recognition app, they just need to speak, and the app will get it done. Users don’t even need to touch their smartphones to perform these tasks.
b. Accessibility:
People with disabilities and who are having trouble typing can leverage the voice recognition app the most. The app helps them to communicate efficiently through voice and breaking down barriers to promote prevalence.
c. Saves Time:
A voice recognition app development not only offers convenience but also saves time. In comparison to typing, speaking is a much faster way to give input to the device.
d. Personalized Assistance:
Popular voice assistants like Amazon Alexa, Siri, and Google Assistant provide personalized assistance to users, like playing songs, setting an alarm, or sharing weather updates.
e. 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.
Voice Recognition App Development: Process To Follow
You have to follow a series of sequential steps for voice recognition mobile app development. Let’s go through each step in detail:
a. Which Voice Recognition App do you want to develop?
Yes, that’s the first question we will ask. Confused? Let us help. There are two major types of voice recognition apps – speaker-dependent apps and speaker-independent apps.
What’s the difference?
The speaker-dependent apps, as the name indicates, work on a predefined template. In simple words, the speaker-dependent apps are trained to work for a particular user. Generally, these apps are used for business security purposes or user security in the custom apps.
On the other side, speaker-independent apps can understand the voice of multiple users and perform tasks accordingly. This means that users with different pitches, amplitudes, accents, and tones can easily use speaker-independent voice recognition apps.
b. Strong Emphasis on Core Technologies and API:
After deciding which voice recognition app you want to develop, the next crucial aspect is to finalize the tech stack for your voice recognition app development. The tech stack includes programming languages, APIs, libraries, frameworks, and other aspects.
The voice recognition app development with the right resources and tech stack makes your work much easier and more effective than beginning from scratch.
c. Selection of Features in the Voice Recognition App:
The strength of any mobile app is its set of features. Although the core should be sufficient to serve its intended purpose, a boutique of user-friendly and high-utility features can really elevate the quality of your voice recognition app.
If you want to develop a voice-based virtual assistant app, then you can use AI & ML to offer functionalities like playing music, calling from voice commands, and other tasks.
d. Hire a reliable Mobile App Development Company:
Once the research and requirements part is done, you have to look for a trusted mobile app development company that has a vision similar to yours for the requirements. It is essential to get top-notch mobile app development services. Why? Because a tech-savvy and skilled development team will help you implement all the required features & functionalities without any hiccups.
However, it is a time-consuming task to find mobile app developers who are experienced, skilled, and professional as well. You can simply connect with reputed mobile app development service providers like Octal. We offer high-quality custom mobile app development services at the best competitive prices.
e. UI/UX Design:
The designing team will develop the user interface or the screen that customers will see and also focus on the experience that your app will offer to the customers. Our UI/UX designers prefer to create the most simplistic design and accessible features so that maximum customers will be attracted to your app.
f. Development:
The developers will build the features and functionalities of your app as per the scope of work. They will build the admin panel, the backend of the app, all the coding parts, the database, and other important aspects of the app. They also have to ensure the app’s security and performance.
g. Testing:
Last but not least, testing services are a crucial aspect of mobile app development. A professional mobile app development company like ours places a strong emphasis on testing. It helps us avoid any glitches and errors in the app and ensures smooth and efficient app development.
How much does it cost to develop a Voice Recognition App?
The cost of developing a voice recognition app depends on many factors. The major factors that influence its development cost are complexity, features & functionalities, platform of the app (Android & iOS), size of the development team, location of the development team, and others.
The development team’s location significantly affects the app’s overall budget. This is because of the difference in developers’ hourly rates at different locations. For e.g., the hourly rates in North America, Europe, and Australia lie in the range of $80-$120 per hour. On the other side, you can get the same development quality in countries like India, China, or Vietnam at much lower rates. Here, the development rates lie in the range of $25-$40 per hour.
Thus, this difference in hourly rates results in a huge difference in overall development cost.
Conclusion:
Voice recognition apps are being leveraged in multiple industries, and the demand is just increasing. We at Octal IT Solutions have always been the choice of businesses for custom app development.
We provide a comprehensive range of development services with the latest technologies and advanced features & functionalities. Just share your idea with us, and we will turn it into digital reality. Let us know your requirements.
Recommended Read: Best Face Recognition Apps
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