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What Is A Speech Recognition Example?

Speech recognition technologies such as Alexa, Cortana, Google Assistant and Siri are changing the way people interact with their devices, homes, cars, and jobs. The technology allows us to talk to a computer or device that interprets what we're saying in order to respond to our question or command.28 Mar 2019
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Applications of Speech Recognition

What is Speech Recognition?

Speech Recognition technologies such as Alexa, Cortana, Google Assistant and Siri are changing the way people interact with their devices, homes, cars, and jobs. The technology allows us to talk to a computer or device that interprets what we’re saying in order to respond to our question or command.1

With a long history of development and innovation, it was the introduction of these artificial intelligence voice-controlled assistants, or digital assistants, into the voice recognition market that changed the landscape of this technology in the 21st century.2

With digital assistants quickly becoming ubiquitous in various aspects of life, understanding their capabilities and applications is paramount to individuals, businesses, and organisations.

Introducing Speech Recognition digital assistants

Digital assistants are designed to help people perform or complete basic tasks and respond to queries. With the ability to access information from vast databases and various digital sources, these robots help to solve problems in real time, enhancing the user experience and human productivity.6

Popular digital assistants, include:

Amazon’s AlexaApple’s SiriGoogle’s Google AssistantMicrosoft’s Cortana

Applications of Speech Recognition technology

Speech Recognition technology and the use of digital assistants have moved quickly from our cellphones to our homes, and its application in industries such as business, banking, marketing, and healthcare is quickly becoming apparent.

1. In the workplace

Speech Recognition technology in the workplace has evolved into incorporating simple tasks to increase efficiency, as well as beyond tasks that have traditionally needed humans, to be performed.

Examples of office tasks digital assistants are, or will be, able to perform:7

Search for reports or documents on your computerCreate a graph or tables using dataDictate the information you want to be incorporated into a documentPrint documents on requestStart video conferencesSchedule meetingsRecord minutesMake travel arrangements2. In banking

The aim of the banking and financial industry is for Speech Recognition to reduce friction for the customer.8 Voice-activated banking could largely reduce the need for human customer service, and lower employee costs. A personalised banking assistant could in return boost customer satisfaction and loyalty.9

How Speech Recognition could improve banking:10

Request information regarding your balance, transactions, and spending habits without having to open your cell phoneMake paymentsReceive information about your transaction history3. In marketing

Voice-search has the potential to add a new dimension to the way marketers reach their consumers. With the change in how people are going to be interacting with their devices, marketers should look for developing trends in user data and behaviour.11

Data – With Speech Recognition, there will be a new type of data available for marketers to analyse. People’s accents, speech patterns, and vocabulary can be used to interpret a consumers location, age, and other information regarding their demographics, such as their cultural affiliation.13Behaviour – While typing necessitates a certain extent of brevity, speaking allows for longer, more conversational searches.14 Marketers and optimisers may need to focus on long-tail keywords and producing conversational content to stay ahead of these trends.15

This type of fast search could make users more impatient and increasingly dependent on choosing to use the internet as their main source of information.16 Due to this, the amount of time users spend looking at a screen might decrease. Marketers should consider what this might mean for predominantly visual content, as there may be a shift towards focussing on auditory and information-heavy content.

4. In Healthcare

In an environment where seconds are crucial and sterile operating conditions are a priority, hands-free, immediate access to information can have a significantly positive impact on patient safety and medical efficiency.17

Benefits include:18

Quickly finding information from medical recordsNurses can be reminded of processes or given specific instructionsNurses can ask for administrative information, such as the number of patients on a floor and the number of available unitsAt home, parents can ask for common symptoms of diseases, when they should go to the doctor, and how to look after a sick childLess paperwork19Less time inputting data20Improved workflows21

The most significant concern using Speech Recognition in healthcare is the content the digital assistant has access to.22 It has been recognised that the content will need to be supplied and validated by recognised medical institutions, in order for it to be a viable option in this field.

5. With the Internet of Things

Siri’s ability to connect to smart lights and smart thermostats24 makes it seem as though instructing your digital assistant to turn the kettle on is not far off. The Internet of Things (IoT) is not the futuristic possibility it once was, but rather a relevant development happening around us.

Currently, one of the most prominent applications of Speech Recognition in the internet of things is in cars. It is predicted one in every five cars will be connected by 2020.26 The advantages of this could change the way we drive and interact with our vehicles, with the overall aim of limiting driver distractions.

Digital assistants application in cars:27

Listen to messages hands-freeControl your radioAssist with guidance and navigationRespond to voice commands6. In language learning

One of the most transformative applications of Speech Recognition technology from a human perspective is its ability to remove language barriers and cultural boundaries in aspects of social life and in the workplace.28

A world without language barriers opens up great possibilities for collaboration among various countries and cultures,29 perhaps contributing to a faster rate of innovation as a result of the increased diversity.

Future applications

This technology is still largely in its infancy, but with the theory of “hyper adoption”, by which consumers tend to adopt new technologies more quickly than they did in the past, it’s likely this technology is going to grow and improve rapidly.30 At this stage of the technology’s life cycle, having a clear idea of its potential and its likelihood to become a commonality in our daily lives in the near future is paramount. Businesses should be proactive in their approach to introducing or incorporating Speech Recognition technology into their digital marketing strategy and budget, while individuals should continue to explore the benefits of Speech Recognition in their daily activities. As accuracy rates improve and consumer buy-in increases, industries can expect to encounter a need to adapt to be more speech centric, and in turn more human, than may have seemed possible in previous years.

Explore the possibilities of HCI for the enhancement of user experience with this online course from MIT CSAIL.

1 Bandakkavanar, R. (Apr, 2017). ‘Speech Recognition’. Retrieved from KrazyTech.2 Boyd, C. (Jan, 2018). ‘The past, present, and future of Speech Recognition technology’. Retrieved from The Startup.3 Columbus, L. (Oct, 2017). ‘Gartner’s top 10 predictions for IT in 2018 and beyond’. Retrieved from Forbes.4 Olsen, Christi. (Apr, 2016). ‘Just say it: The future of search is voice and personal digital assistants’. Retrieved from Campaign.5 Small, C., Nirgin, D., Churchwell, K., Brownstein, J. (Mar, 2018). ‘What will healthcare look like once smart speakers are everywhere?’ Retrieved from Harvard Business Review.6 Imanuel. (Nd). ‘Top 22 intelligent personal assistants or automated personal assistants’. Retrieved from Predictive Analytics Today.7 Van der Velde, N. (Oct, 2018). ‘Innovative uses of Speech Recognition today’. Retrieved from Globalme Language and Technology.8 Simic. B. (Jun, 2018). ‘12 exciting ways you can use voice-activated technology in the workplace’. Retrieved from Forbes.9 Van der Velde, N. (Oct, 2018). ‘Innovative uses of Speech Recognition today’. Retrieved from Globalme Language and Technology.10 Van der Velde, N. (Oct, 2018). ‘Innovative uses of Speech Recognition today’. Retrieved from Globalme Language and Technology.11 DeMers, J. (Nov, 2017). ‘How far can voice recognition go? 7 marketing implications’. Retrieved from Forbes.12 Columbus, L. (Oct, 2017). ‘Gartner’s top 10 predictions for IT in 2018 and beyond’. Retrieved from Forbes.13 DeMers, J. (Nov, 2017). ‘How far can voice recognition go? 7 marketing implications’. Retrieved from Forbes.14 DeMers, J. (Nov, 2017). ‘How far can voice recognition go? 7 marketing implications’. Retrieved from Forbes.15 DeMers, J. (Nov, 2017). ‘How far can voice recognition go? 7 marketing implications’. Retrieved from Forbes.16 DeMers, J. (Nov, 2017). ‘How far can voice recognition go? 7 marketing implications’. Retrieved from Forbes.17 Small, C., Nirgin, D., Churchwell, K., Brownstein, J. (Mar, 2018). ‘What will healthcare look like once smart speakers are everywhere?’ Retrieved from Harvard Business Review.18 Small, C., Nirgin, D., Churchwell, K., Brownstein, J. (Mar, 2018). ‘What will healthcare look like once smart speakers are everywhere?’ Retrieved from Harvard Business Review.19 Yelina, Y. (Aug, 2017). ‘Speech Recognition in healthcare: a significant improvement or severe headache?’. Retrieved from News Medical Life Sciences.20 Yelina, Y. (Aug, 2017). ‘Speech Recognition in healthcare: a significant improvement or severe headache?’. Retrieved from News Medical Life Sciences.21 Yelina, Y. (Aug, 2017). ‘Speech Recognition in healthcare: a significant improvement or severe headache?’. Retrieved from News Medical Life Sciences.22 Small, C., Nirgin, D., Churchwell, K., Brownstein, J. (Mar, 2018). ‘What will healthcare look like once smart speakers are everywhere?’ Retrieved from Harvard Business Review.23 Small, C., Nirgin, D., Churchwell, K., Brownstein, J. (Mar, 2018). ‘What will healthcare look like once smart speakers are everywhere?’ Retrieved from Harvard Business Review.24 De Marco, N. (Sep, 2018). ‘The rise of voice control in the internet of things’. Retrieved from Internet of Things Agenda.25 Columbus, L. (Oct, 2017). ‘Gartner’s top 10 predictions for IT in 2018 and beyond’. Retrieved from Forbes.26 De Marco, N. (Sep, 2018). ‘The rise of voice control in the internet of things’. Retrieved from Internet of Things Agenda.27 De Marco, N. (Sep, 2018). ‘The rise of voice control in the internet of things’. Retrieved from Internet of Things Agenda.28 Van der Velde, N. (Oct, 2018). ‘Innovative uses of Speech Recognition today’. Retrieved from Globalme Language and Technology.29 Van der Velde, N. (Oct, 2018). ‘Innovative uses of Speech Recognition today’. Retrieved from Globalme Language and Technology.30 Robbio, A. (Jun, 2018). ‘The hyper-adoption of voice technology’. Retrieved from Forbes.
13 Related questions Answers found

What is speech recognition explain?

Speech recognition, also known as automatic speech recognition (ASR), computer speech recognition, or speech-to-text, is a capability which enables a program to process human speech into a written format.

What is speech recognition Tutorialspoint?

Speech Recognition. The objective of voice recognition is to recognize WHO is speaking. The speech recognition aims at understanding and comprehending WHAT was spoken. It is used to identify a person by analyzing its tone, voice pitch, and accent.

What are the key components used in speech recognition?

Speech recognizers are made up of a few components, such as the speech input, feature extraction, feature vectors, a decoder, and a word output. The decoder leverages acoustic models, a pronunciation dictionary, and language models to determine the appropriate output.

Is speech recognition a technology?

Speech recognition technology allows computers to take spoken audio, interpret it and generate text from it. But how do computers understand human speech? The short answer is…the wonder of signal processing. Speech is simply a series of sound waves created by our vocal chords when they cause air to vibrate around them.

What kind of signal is used in speech recognition?

What kind of signal is used in speech recognition? Explanation: Acoustic signal is used to identify a sequence of words uttered by a speaker.

How is speech recognition used in healthcare?

Speech Recognition in Healthcare Speech recognition programs identify spoken words and then either complete a task or translate the spoken word into text. If you have ever dictated something to your phone or your vehicle (such as instructing it to 'Call Mom'), then you've used a form of speech recognition technology.

Is speech recognition accurate?

Speech recognition accuracy rates are 90% to 95%. Here's a basic breakdown of how speech recognition works: A microphone translates the vibrations of a person's voice into an electrical signal. A computer or similar system converts that signal into a digital signal.

Is an example of speech recognition software?

Google Now is best for Android Mobile devices. For the dictation on Google Docs, Google Docs Voice Typing is the best option.

What is speech recognition software give any two examples?

Answer: These software are used to recognize our speech and converts into machine language. Google now, Siri and Cortana are few examples of speech recognition software.

What is speech recognition and generation?

Speech Recognition is the ability to translate a dictation or spoken word to text. It is also known as Speech-to-Text and Voice Recognition. It is achieved by following certain steps and the software responsible for it is known as a 'Speech Recognition System'.

How is speech recognized by a computer?

Train your computer to recognize your speech Speech Recognition uses a unique voice profile to recognize your voice and spoken commands. As you use Speech Recognition, your voice profile gets more detailed, which should improve your computer's ability to understand you.

What is speech recognition and its application?

Speech recognition technologies such as Alexa, Cortana, Google Assistant and Siri are changing the way people interact with their devices, homes, cars, and jobs. The technology allows us to talk to a computer or device that interprets what we're saying in order to respond to our question or command.

What data is in speech recognition?

What is speech recognition data? By speech recognition data, we mean audio recordings of human speech that are used to train a voice recognition system. This audio data is typically paired with a text transcription of the speech, and language service providers are well positioned to help.