MacKenzie is an interface to "R" programming language and R-studio
This is a VERY early prototype of MacKenzie which is a speech interface powered by three IBM Watson Services - speech to text service; natural language classifier (NLC) and text to speech
Tools like this can be be used to explore IBM Watson services (or other APIs) - helping R-Studio service as a RAPID PROTOTYPING platform for cognitive applications and cognitive computing.
Focus is not (clearly) on latency and response time, nor on scalability - but on exploring "The Art of the Possible" - how services and ideas can be combined to solve real problems and create business value.
Will post the code on Github (rustyoldrake) when I tighten it up a little.
About this blog
This is an informal blog that explores tools, code and tricks that group members have developed to engage IBM Watson cognitive computing services - from the R Programming Language. Packages include RCURL to access Watson APIs - for services that include Natural Language Classifier and Speech to Text. THIS IS MY PERSONAL BLOG - it does not represent the views of my employer. Code is presented as 'use at your own risk' (it has lots of bugs)
Created: September 13, 2015English