1 min read

Machine Learning Usecase 10- Voice Assistants

Machine learning makes applications listen to the whole speech, not every word separately. That way, voice apps analyze context and probabilities to determine what are you trying to say.
Machine Learning Usecase 10- Voice Assistants

This consumer-based use for machine learning applies mostly to smartphones and smart home devices. The voice assistants on these devices use machine learning to understand what you say and craft a response. The machine learning models behind voice assistants were trained on human languages and variations in the human voice because it has to translate what it hears into words and then make an intelligent, on-topic response.

Millions of consumers use this technology, often without realizing the complexity behind the tool. The concept of training machine learning models to follow rules is fairly simple, but when you consider training a model to understand the human voice, interpret meaning, and craft a response, that is a heavy task.

Probyto AI allow organizations to build and manage such usecases and track the benefits of AI adoption in their businesses. Currently, FREE 60 minutes AI Consultation is being provided to the registered users in the Probyto AI Demo platform. If you haven't registered yet, register now to Probyto AI Demo.

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