Audio-Analysis app for iPhone and iPad

The goal of this study is to develop a database for researchers to access in order to evaluate existing and create new audio forensic algorithms. Forensic algorithms can help scientists and law enforcement officials identify instances of digital forgery. To achieve this goal, we seek to collect audio data (background noise or human speech samples) from a diverse set of adult participants using different types of smartphones using Audio Forensic Analysis App. We developed our Audio Forensic Analysis App for two main mobile phone platforms iOS. Study
participants can download our Audio Forensic Analysis App from App Store (iPhone/iPad).

To participate in this important scientific project, install the “Audio Forensic” application on your smartphone. In case, you need further assistance to install the application, see the following help page: http://www.secs.oakland.edu/~Mahmood/apps/install.html
Installed app will be used for uploading 5 audio files of each 8 minutes in length to our secure data server. Recordings can be new audio recordings. Participants are highly encouraged to record samples in different ambiance (different noise level in surroundings) settings and can consist of environment sounds or human speech without any personal identifying information.


Compensation
Data collection will take about 30-45 min to record and upload the 5 audio files of each 8 minutes in length. Upon completion participants will receive a one-time compensation in the form of a $20 electronic gift card. Gift card is delivered within 14 days of audio - files verification.

Who can participate? Participants in the research should meet the following criteria:

Can speak English. To have a diverse collection of audios, native English speakers, minorities and international students are encouraged to participate.
Only individuals 18 years of age or older can participate.
Minimum of high school education is required to participate in this study.
Both male and female students are encouraged to participate in this study.
Resides in the US
To ask questions please contact:

Khalid Mahmood Malik, PhD
Assistant Professor
Department of Computer Science and Engineering
532 EC 115 Library Drive
Rochester MI 48309-4479
(248) 370-3542Â (Direct Line)