What are some examples of speech recognition?
Voice recognition technology is at the heart of millions of homes around the world. A device that listens to your voice and executes subsequent commands. You may think your skills won’t scale any further, but you may want to grab the ladder. This hole is deep.
The technology behind voice recognition software goes beyond what most of us know. Phonetics, such as autonomous speech recognition (ASR) and voice-to-text conversion, have spread their influence throughout society. This article takes a closer look at seven examples of speech recognition and areas where speech-to-text technology can make a significant difference.
1) Physician virtual assistant.
The US and UK both suffer from long wait times despite having very different healthcare systems. It’s clear that hospitals around the world will benefit from these time savings.
If doctors have easy access to voice-to-text technology, they can shorten the average appointment time by converting speech to text instead of transcribing notes themselves. The less time doctors spend typing notes, the more patients they can see per day.
Additionally, effective speech recognition systems like the world’s leading ASR cut out the middleman more often than not. Rather than waiting to operate on a human, many medical facilities are using voice recognition to determine symptoms and determine whether a doctor is needed.
However, there are concerns about the information voice-to-text software collects. From a data security perspective, verification by a recognized medical institution is required.
But in the medical field, voice-to-text conversion seems like a no-brainer. Saving time can save lives.
2) Autonomous bank deposits.
According to research from PwC, 32% of customers abandon their favourite brands after a negative experience. Good customer service is essential to retaining customers and attracting new ones.
Banks often struggle with customer service because customers move from employee to manager, explaining the same details over and over again. This is where voice-to-text software comes into play. As we move into the 2020s, banks are adapting their services to available artificial intelligence in banking.
There are many examples of major banks using voice-to-text technology.
For example, Royal Bank of Canada allows users to pay bills using voice commands. USAA provides members with access to information about account balances, transactions, and spending patterns through Amazon Alexa. Us. Banks provide tips and insights to help customers manage their money, such as the Bank Smart Assistant. When a bank wants to reduce the need for human staff as much as possible.
3) Ad personalization.
“My phone keeps listening to me!” It seems to be popping up more and more in modern conversations these days.
What sounds like spyware is actually voice-to-text technology that collects data. Your device listens for tones, voice patterns, and specific vocabulary used to retrieve your age, location, and other information. The software collects that data by keywords and then serves it to you in the form of personalised advertisements.
Tracking search history is important for marketers, but voice-to-text provides more thorough behavioural predictions. Text is often very limited. Say what you need to say in as few words as possible. Speech is more fluid and provides better insight into your behaviour, so by summarising it, marketers can add more to your needs.
4) Simplifying family life.
According to Statista, more than 5 billion people will use voice-activated searches in 2021, and that number is expected to reach 6.4 billion in 2022. Additionally, 30% of voice-enabled customers said they purchased software to control their homes.
Essentially, people use voice recognition technology to make their lives easier. It’s 2022, so why should we turn on the light switch?
The pandemic has pushed voice and AI in telecom technology to new heights, with people increasingly ordering their shopping through Alexa, Siri, and more. Life is becoming increasingly automated.
5) Hands-free playlist shuffling.
When you sit down in most modern cars, you’ll see ‘Apple CarPlay’ appear on the centre console. You can make and receive calls, change songs, send messages, get directions, and more without taking your hands off the steering wheel.
These features not only dramatically improve road safety but also make the driving experience more comfortable. No need to queue up 50 songs in a row and print directions to get there. Instead, speech recognition listens for requests to send text messages, records them, and sends them.
None of this would have been possible without voice-to-text technology.
6) Productivity Manager.
COVID-19 has changed the workplace forever. Offices have been changing since 2020, with many companies adopting hybrid working arrangements. Linguistics is no different. Many of our employees are working remotely, some are working from our headquarters, and some have started using newly leased WeWork office space.
Organisations must modernise or risk being left behind. Voice-to-text technology helps employees stay productive and efficient wherever they are. Zoom and Microsoft Teams are becoming necessities for the workplace.Emails and documents are copied without typing, saving you time and hassle.
Meeting minutes are recorded and copied so absent employees can catch up. All of this allows for a more lenient environment in which employees can regain some agency.
7) Air Force pilots think little.
Fighter aircraft are the technological pinnacle of most countries’ weapons. One of the most feared aircraft on the earth, for instance, is the Eurofighter Typhoon of the Royal Air Force. Much of the operating system’s work is accomplished using speech recognition applications. Pilots reduce their workload by creating templates that can be used for various cockpit functions.
Back on the scene, speech-to-text technology is still widespread. Voice recognition helps soldiers access critical mission information, refer to maps, and deliver messages during combat.
Take the government one step further and voice recognition is everywhere. Departments often use them instead of human workers to save labour and money.