Build a Voice Assistant App for iPhone
Alexa, Siri, Cortana, and Google Assistant are already among the top voice assistants helping customers in easing up every task through just touch and speak functionality. For iOS users, Siri is an excellent time-saver and speech assistant, working on the technology of artificial intelligence and machine learning.
Making a virtual assistant application just like Siri can be great, but are you aware of how to develop a voice assistant app for iPhone?
Let’s have a complete understanding of how to make a voice assistant app, why’s it the talk of the town, and what it takes to build an app like that. In this article, we’ll decode it all-
What are Voice Assistant Applications?
Voice assistant applications are software responding to natural language processing and are integrated with similar technology. Accepting voice commands and replying instantly with an answer in audio format, providing the exact information asked is what voice assistants are programmed to do.
By making most of the tasks simpler, rely on voice command for playing music, making a call, opening a particular application, and fortunately, if you have a smart home it can use for switching on and off your room lights too! Well. Technology has a wide scope to ease up things that were once impossible to even think about.
Working Mechanism of Voice Assistants
Here’s how a voice assistant works according to the leading iOS app developers–
· The virtual assistant receives an audio request from the user, it further processes the request in the form of phonemes which are called building blocks of language.
· These phonemes are modified into various requests with the help of Speech-To-text. It’s kept within the JSON file which includes the additional data about the user and the session.
· In the cloud, the JSON will be processed for driving the content and request’s intent.
· Later based on the information available on the internet, the response will be submitted. Intended to be done within a larger JSON file, may it be as SSML or can be as a string.
· Then the response will be managed by using Artificial Intelligence (Text-To-Speech) and the response with being returned to the users.
Why Businesses are Moving Their Focus toward the Voice Assistants?
Let’s check out how voice assistant apps are the chosen ones these days!
· It’s Super Easy Usage
Needless to mention, voice assistants are excellent in terms of making the operations easy and relatively smooth without having any interruptions or roadblocks. It can be an extremely useful feature of any age group and community as it involves just speaking for your command to be fulfilled, which is available in multiple languages.
· Emotional Connect
This may surprise you a bit but the leading iOS app development companies have a strategy to create voice assistant apps in such a way that it connects with the customers emotionally by interacting with a personal assistant. This bonding helps in motivating the users to make more use of voice assistants.
· Instant Responses
Most users today expect to receive a response on their query then and there and virtual assistant apps are certainly the right choice! The responses users receive during voice commands are so quick, that you would feel that you’re actually communicating with a human and that’s the most outstanding quality which involved no typing or even touching a smartphone/smart device.
· The Technology Aspect
Artificial Intelligence has hugely contributed to the development of various applications and added extra features to NLP alongside. The leading voice assistant applications including Siri, Alexa, Cortana, etc. can attract the millennials as well as the older generation where everything seems convenient and easy to understand.
As per a survey conducted in 2019, there were logged that 3.25 billion digital voice assistants are being used around the world. Post that there were recorded 4.2 billion voice assistants in 2020. Though as per the current predictions, the number of digital voice assistants will soon be increased to 8.4 billion units by the year 2024.
What’s the Process of Developing Voice Assistants?
Let’s understand the process of developing a voice assistant application, here are the steps to help you through!
· Planning the Strategy
Not all voice assistants are serving a similar purpose and your app should have a clear picture of the long-term goals and its target audience. How exactly? So, taking an example of the leading voice assistant applications, Cortana is mostly utilized for business-related queries.
While Google Assistant is utilized for the regular day-to-day decisions. Considering this, you must know what purpose your app is solving and what elements should be included to cater audience.
· Integration with Custom APIs and AI Tools
Most third-party applications are already having an option to integrate Siri since 2016. It is from the time when Apple delivered an exceptional tool named Apple SiriKit, which provides two sorts of Siri integration.
One is which handles the basic decision including calling & messaging known as intents. While the other one is which handles the custom content on the UI including providing weather updates for the upcoming weeks, this one is known as Intents UI.
· Adding Features
Building an AI-based voice assistant for iPhone users involves the following features- Speech to Text- CMU Phoenix is a part of programming that helps in changing voice commands given by the users to text taking forward a goal that can be examined and performed. Another feature is Time-To-Success- It is a cycle just like STT interaction.
· Making Decisions
By now, you’ve already developed stuff. Now the company you’ve hired will analyze a user’s solicitation, decipher the same and respond with AI innovations. The process involves tagging parts that are relevant to the users and can be utilized for making the response.
· Speech Recognition
Now the voice recognition system will be helping the voice assistants in recognizing the user. It will further help them in getting the right and most exact answers. This can also assist the businesses in being aware of the situations wherein a voice assistant listens to every sound around and responds accordingly like TV sounds, Radio volumes, animal sounds, etc.
· Reducing Length of Speech
The AI assistance feature is majorly accountable for giving a quick response to the users. The basic server where the user’s communication is recorded should be trustworthy and secure at the same time. To handle any data loss, it is advisable to use G.711 standard.
· Experience Testing
Once the development is completed and you have a working app delivering the required goals it’s important to go for a final round of testing which adds to the user experience. It’s imperative to consider the visual and audience feedback for your app before it’s floated in the market for the users.
Developing your own AI voice assistant can be a tough task if there are no preset goals and strategies to follow throughout! Hope this article has helped you in understanding the process of developing a voice assistant app. For queries over app development costs, you can finalize the features you’re willing to add and get started with the development through a tentative cost.