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Creating an AdamSonic iPhone App

February 14, 2009 // Posted in Audio Hardware, General, iPhone stuff, Software  |  3 Comments

So today I created an iPhone app for my blog in less than 5 minutes.  Here’s how I did it and how you can add AdamSonic to your iPhone too!

  1. I downloaded and installed the WPtouch iPhone Theme in WordPress.  WordPress has a one click installation process that makes adding a plug-in as easy as watching a YouTube video.  The WPtouch iPhone theme will automatically detect if visitors to the blog are viewing it through an iPhone.  If they are, it automatically reformats the blog to make it much more friendly to a mobile device with a touch screen.
  2. I opened the Safari browser in the iPhone and navigated to www.adamsonic.com/blog.  As you can see from the picture, the blog formatting worked!
    BlogSonic in Safari
  3. I clicked on the + and added the blog to my home screen using the built in “Add to home screen” function.Add to Home Screen
    This creates an icon for the website and adds it to the home screen.BlogSonic logo
  4. Enjoy!  If you would like to use the standard web view to on your iPhone, there is an option on my blog to use that view instead.

Special thanks to Brian Geoghagan and David Battino.

Interesting application of speech analytics

February 13, 2009 // Posted in Audio Software, iPhone stuff, Security, Software  |  1 Comment

Pluggd

Pluggd

A while back, I heard about Delve Networks, a Seattle based company which developed an audio search engine named Pluggd.  Pluggd scans audio and video podcasts for keywords and embeds them with searchable markers.  These searchable markers tag the individual words and subjects within an audio file.  The user can type any word or phrase into their search engine and instantly locate all podcasts with that word or phrase in it.  Pluggd will even highlight the exact location in each podcast where the phrase was spoken!

Yesterday I stumbled across an application named Utopy SpeechMiner.  SpeechMiner analyzes recorded conversations for keywords as well as emotion and organizes the results into a searchable database.  SpeechMiner was created as a tool for large scale statistical analasis of customer service phone calls.  The intent is to determine common issues and track customer satisfaction.  SpeechMiner also has an API that enables the software to be integrated into websites and other applications.  What I find most interesting, is that these speech analytics are being applied to phone conversations.

In a discussion with someone who used to work for the government about the recent warrantless wiretappings of american civilians by the NSA it was explained to me that the government has the capability of gathering and storing huge amounts of personal data but they have no idea what to do with it.  I maintain that if they haven’t already figured out the alchemy of changing vast quantities of data into usable information it’s only a matter of time before they do or someone else does it for them.