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. NLP enables computers to understand the meaning beyond the literal sentence, just like humans do, 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 program 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 professions 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:

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.
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.
Enhanced accessibility: For people with disabilities or who have difficulty typing, speech recognition and conversational AI can improve accessibility to technology and the internet.
Personalized experiences: As AI systems become more intelligent, they will be able to personalize experiences for individual users based on their preferences and behaviors. This could lead to more targeted marketing, customized product recommendations, and other personalized services.
New business opportunities: As with any new technology, conversational AI and speech recognition will create new business opportunities for startups and established companies alike. We can expect to see new products and services that leverage these technologies to improve customer experiences and increase efficiency.

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!

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

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