I can answer questions about speech recognition and natural language understanding. I am particulary strong in knowedge based natural langauge techniques. I cannot answer questions about robotics, nueral nets, prolog, or vision recognition - just speech and natural language.
I have spent 25 years developing natural language software products. I have never developed speech systems, but I have developed sophisticated interfaces from natural language to speech. I have been working with speech recognition systems also for 25 years.
Imagine being able to talk to your computer and have it understand you and help you get your work done. Imagine not needing to learn complex software menu trees, becuase you just ask and the system does it for you. This is what is just now occuring in the speech and natural language fields.
I am currently working on a 7th generation natural language engine that is regarded by peers in my field as one the most advanced in existance. Our vision is to allow people to talk to machines without knowing any technical jargon and get the results they need.
Speech recognition and natural language are just now reaching a crital mass of capability. This technology is just now breaking out in a big way.
While some people have bad experiences with speech or language recognition in the past, steady progress has been nade over the past several decades. This has been and still is the most difficult area of computer science
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yes, I am sure that is possible. you just have to design the functions you want, design the user interface - then write the code. Keep in mind all smartphones already have calculator apps. most are
So - how about the Curiosity Rover - which is currently on Mars attempting to climb a small mountain in the 'Gail Crater'! The answer to your question is 'YES!'. there are all kinds of robots being built
Let me reword your question: Do modern speech recognition systems learn and adapt to each users specific voice? The answer to that is an absolute yes. Dragon speech recognition has been adapting to
I suggest you use commercial software development tools that are in the widest possible use. Don't use some one-off compiler no has ever heard of. Also, academics and professors are not always in tune
Making money is pretty easy in the software business. Sadly, working in AI is a more unpredictable path. there is speech recognition and natural language understanding, which is my area of interest.