Tags » Pulagam

Final Demo

Based on Prof. Cheng’s recommendation during the presentation, we tried the app with music playing in the background. It is able to classify all three sounds with loud music playing in the background too. 7 more words


10th March, 2014

The classification using FFT is complete. We calculate the peak frequency at every instance and if it lies within a band we defined earlier, then we know that it COULD be one of the pre-defined sounds. 73 more words


1st March, 2014

The porting of the audio feature extraction library is almost complete. We will begin the testing of the library once its completed. 

Apart from this. we are adding multiple features to our for the hearing impaired. 31 more words


21st February, 2014

We are trying to port the LibXtract libraries after finally being able to compile the library on a PC. We plan to check the compatibility of the LibXtract libraries with Android platform. 52 more words


About the app

We are trying to develop an app for the hearing impaired and headphone users. The app is intended to detect:

  1. Police Sirens
  2. Car Horn
  3. Smoke Detector Alarms…
  4. 25 more words