Thursday 26 February 2015

Audio Sample Taken in a Public Restaurant

The following is the audio signal of a sample obtained at a restaurant with less crowd. Prominent background noise sources include tapping feet (stationary), footsteps (moving around at intervals), distant (approximately around a 5 feet radius) chatter at low volumes, music from a player, and noise from the kitchen (around 30 feet from the point of recording).



The frequency analysis spectrum, obtained with the help of audacity:



The cepstrum for the above sample:




Below is the signal of a sample taken in the same location, a few minutes apart. This sample includes noise from a nearby (around 2-3 feet away) conversation, along with the rest of the above events occurring in addition:



The frequency spectrum:


Frequency cepstrum:


Judging by the audio signals alone, the two seem to differ visibly. The sample with the conversation has sharp, visible spikes in it that occur along the duration of the sample. The amplitude of the signals of the conversation are quite large compared to that of the rest of the signal. Factors such as the proximity of the source might have an effect over the signal as well.  

About Us




We are a team of engineering students studying at the PES University. We are currently in our sixth semester. The objective of this project is to analyse sound and deduce meaningful events from the analysis. We are primarily focusing on classifying environmental sound by studying the spectra and properties of the audio signals. Our mentor is Mrs. Savitha Murthy and our guide is Dr. Dinkar Sitaram, head of the Center for Cloud Computing and Big Data.

Our team comprises the following members:





Saikarun BR
Department of Telecommunication Engineering









Sanchitha Seshadri
Department of Information Sciences Engineering











Sagar T.P.
Department of Computer Science Engineering