Thanks to advances in machine learning, natural language processing, and related innovations, voice recognition apps can now understand and mimic human speech with far greater accuracy than ever before. The rise of voice skill development has already offered major benefits to both organizations and consumers.
Interacting with an app simply by speaking to it is extremely convenient for users. For companies, voice apps – when equipped with AI – can learn about an individual, making it easier to tailor their services to each customer’s tastes and preferences.
The following examples demonstrate how businesses in seemingly unlikely industries have already found ways to incorporate voice recognition apps in their products. They’ll help you better understand how your company may do the same.
Voice skills power security cameras
The “smarter” your home security camera is, the safer you are. That’s why Lighthouse, a Palo Alto startup, is leveraging AI and voice skills technology to develop better security cameras.
By allowing users to speak directly to an AI, the camera can be much more responsive to their particular needs. For example, a user may wake up in the middle of the night, hearing a strange noise in another part of the house. They can then ask the camera if it’s an intruder, or simply another family member or pet. The AI technology learns to recognize frequent occupants of the house, so it can alert a user when someone inside the home shouldn’t be there.
It can also efficiently answer questions about events that may have occurred inside the home when a user was away. For example, a family on vacation could return after being away and review footage from the time that had elapsed. Whether that’s to confirm the neighbor actually came in to water the houseplants or just to check on the general state of things, this feature for voice recognition apps that focus on security is highly valuable.
This use of technology boosts convenience and user safety. If homeowners embrace products that leverage voice skills in this manner, it’s likely that businesses will also follow suit.
Interpol is using a voice recognition app to identify criminals
During criminal investigations, law enforcement agencies often have limited amounts of information and evidence regarding potential suspects. Sometimes they only have audio recordings. Matching a voice to an actual person isn’t easy.
Or, at least, it wasn’t. That may change soon thanks to a voice skills program that Interpol uses to identify suspects when they only have recordings of their voices.
This use of voice recognition technology illustrates another benefit these programs offer. They don’t merely recognize the words a person is saying; they can learn to recognize who is saying them.
This voice skill helps law enforcement agencies build stronger cases against suspects. In the past, audio recordings typically weren’t considered viable evidence if there was no way to prove the voice on a recording belonged to a particular individual. If an AI can recognize the voice, using recordings as evidence becomes much more feasible.
Startups can take the opportunity afforded by this advancement in voice application development to enter an emerging niche market. They can develop similar voice skills and apps for other law enforcement agencies. As the technology improves, its usefulness in criminal investigations will grow.
A voice recognition chatbot will help small businesses make more sales
A voice recognition app is, in many cases, essentially a personal assistant. That’s the concept driving Zia Voice, an AI/voice skills product designed specifically for sales teams.
The AI component of the product can analyze various types of data to provide insights about sales prospects, email sentiment, and individual customer attitudes. The voice recognition feature allows users to easily access that information.
Sales teams can ask the chatbot how many new leads were generated during a certain day, or what the average revenue was on a deal. The bot quickly provides an answer, allowing teams to work much more efficiently.
Although this type of voice skill was made for sales teams, similar products can be designed for other types of professionals: Doctors may soon have voice skills assistants who can answer questions about patients, accessing their files more quickly than a human could.
Attorneys can find relevant case information in documents with help from a voice recognition app, instead of asking a paralegal to pore through all the documents on their own. Again, voice application development will only continue to improve, allowing companies to develop even stronger products.
Looking to the future of voice application development
According to some analysts, the voice skills market is likely to grow substantially over the next eight years. That doesn’t mean there aren’t still challenges limiting what these products are capable of doing.
Currently, most programs “learn” to recognize words when they hear them multiple times. The problem is, humans often pronounce individual words in a wide variety of ways. A voice recognition app must learn to incorporate all the potential pronunciations of a word if it can be capable of truly understanding speech.
That said, innovators consistently find ways solve these problems. Voice application development will continue to improve, paving the way for many different future applications. Soon, every home may be equipped with a voice assistant that connects to Internet of Things devices, allowing users to adjust thermostats, turn off lights, lock doors, and more, all without having to lift a finger.
Offices will also adopt these voice skills assistants. In the ecommerce industry, voice recognition chatbots can serve as sales and customer support representatives. They may even take orders at restaurants when servers are too busy.
The future is bright for the industries that embrace voice recognition apps. Now’s the time to get involved.