Meet Musio


Summary of Jurafsky-Martin (Chapter 19) This paper discusses the elementary structures of spoken dialogue systems (also known as spoken language systems or conversational agents). These systems are typically programs that allow people to communicate with machines in natural spoken language in order to accomplish a variety of tasks from booking flights on automated phone systems to having conversations about things like sports and weather. Research on these systems depends heavily on our understanding of human conversation and dialogue practices. In order to create a spoken dialogue system that is efficient, natural, and has a high task success rate, there are quite a few things to accomplish. There are five elements to consider: automatic speech recognition (ASR), natural language understanding (NLU), […]

Deep learning

Deep Learning and Musio

Deep learning is a branch of Machine learning and is being actively explored in the recent years. Thanks to deep learning algorithms, it enables Musio to learn like us humans and let him do what he is capable of doing. Deep learning methods are better than the traditional machine learning and tech companies are always improving this area of technological advancements. The traditional machine learning techniques works in this way. If a program needed to be coded to recognise hand writing for instance, it’s quite a complex application to develop. The developer would need to devise rules on how characters are written, like ‘O’ is a rounded closed circle, but if someone writes it open on top, the application ‘thinks’ it’s a ‘U’ and here is […]