MacKenzie: An IBM Watson speech interface to R and R Studio

POSTED IN: Building Bridges from R to IBM Watson

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

 Code Here - https://github.com/rustyoldrake/R_Scripts_for_Watson/blob/master/Watson-MacKenzie-R-Studio-Interface.R



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.


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About the Author

Ryan Anderson

Ryan Anderson

Hi! I like to play with data, analytics and hack around with robots and gadgets in my garage. Lately I've been learning about machine learning.

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, 2015


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