Thank you for your interest in this audio evaluation task on Mechanical Turk. This page outlines the details with respect to your consent to participate in our study.

Protocol Title:
Qualitative evaluation of artificially synthesized audio clips synthesized using deep neural networks

Purpose of this research:
The purpose of this research is to evaluate the quality of synthetic audio clips generated using an artificial neural network. The audio clips under test belong to the domain of audio textures (for e.g. a series of popping sounds, the ticking sound made by a Geiger counter or the sound made by water filling a container) or pitches made by musical instruments. The specific goal of this project is to ensure that the synthetic outputs generated by these deep learning models are validated by human beings to test for certain sound qualities like smoothness, naturalness or absence of noise etc.

Contacting Us:
Please use the "Contact this requester" link on the Mechanical Turk's HIT details section if you need further details or clarifications on the task. The Principal Investigator (the person in charge of this research) or his/her representative will answer all of your questions. Note: On using this feature, your e-mail address and your name will automatically be visible to our research team so that we can reply to you.

Your personal data:
Only the principal investigator and his/her representative has your worker ID and this will not be released to any other person. We will NOT request Amazon Mechanical Turk for your person identifying details. Also, this worker ID data will not be used in a publication or presentation. We will use this worker ID only for the purposes of correlating consent to HIT responses and distributing compensation via Mechanical Turk.

All data collected will be kept in accordance to the University's Research Data Management Policy. Research data used in any publication will be kept for a minimum of 10 years before being discarded.