Search

What is conversational AI and how does it support speech recognition?

conversational ai and speech recognition

Share this article:

Facebook
LinkedIn
Twitter
Email

Conversational AI and speech recognition are popular tech terms that are being used more and more in the workspace. In this post, we will explain what these terms mean, how they can be combined, and their potential benefits for your organisation.

What is Conversational AI?

Conversational AI, as defined by IBM and ADA CX, involves combining natural language processing (NLP) with virtual agents and voice assistants to enable users to interact with the computer using spoken language. Natural language processing enables computers to understand the meaning beyond the literal sentence, just like humans do. It helps computers better understand spoken words by analysing the context, making it possible to have a more natural conversation with the machine. The machine learning component of conversational AI enables computers to learn communication behavior through repeated interactions, much like how a child learns to communicate over time.

What is the role of speech recognition?

Speech recognition, on the other hand, is the software that enables computers to process human speech into written text. While voice recognition distinguishes between individual voices, speech recognition transcribes human speech into text, making it easier to interact with computers through speech. Speech recognition is already widely used in certain industries like healthcare (eg Dragon Medical One for clinical documentation) and is becoming more commonplace with the proliferation of smartphones.

However, the biggest limitation of speech recognition is that it struggles to understand context when more than one person is speaking. That’s where conversational AI comes in. By using AI recording technology to distinguish between various speakers, speech recognition can be combined with NLP to suggest the next best actions after meetings or fill in punctuations that were not explicitly stated.

How speech recognition will help us in the future

Conversational AI and speech recognition are already transforming many aspects of our lives, and they are likely to have an even greater impact on our future. Here are some ways these technologies might affect us:

  1. Improved communication: Conversational AI and speech recognition will make it easier for people to communicate with each other and with computers. We can expect to see more seamless interactions with voice assistants, chatbots, and other AI-powered tools.
  2. Increased productivity: By reducing the need for manual data entry and transcription, conversational AI and speech recognition can help people work more efficiently. This could lead to increased productivity and time savings for individuals and organizations.
  3. Enhanced accessibility: For people with disabilities or who have difficulty typing, speech recognition and conversational AI can improve accessibility to technology and the internet.
  4. Personalized experiences: As AI systems become more intelligent, they will be able to personalize experiences for individual users based on their preferences and behaviors. Eg Dragon Medical One recognises users’ accents and adapts over time to better understand a user’s pronunciation.

Overall, the impact of conversational AI and speech recognition is likely to be significant and far-reaching. As these technologies continue to evolve and mature, we can expect to see more innovative applications and use cases in the years ahead.
If you are interested in learning more about Speech Recognition and how it can help your organisation become more efficient contact us now!

Find out how speech-to-text technology and digital dictation will help you work smarter.

Subscribe to Our Newsletter

Name(Required)

View our privacy policy.

This field is for validation purposes and should be left unchanged.

Follow us:

Most Popular

.