Many of us are constantly in possession of technologies allowing us to make recordings, whether that is the sound of our child's first music concert on a digital camera or capturing a practical joke on a mobile phone. There are many outlets for this user generated content. 72 hours of video are uploaded to YouTube every minute.
Mainstream news bulletins often use amateur footage of dramatic events and some TV programmes entirely consist of user generated content. The sound quality of such content is often poor: distorted, noisy, with garbled speech or indistinct music. Our interest lies in the causes of poor quality. Typical problems include: speaking off microphone; distorted speech; wind noise and microphone handling noise.
We want to improve recording quality so that user-generated audio can be more widely used. To do this we will develop an understanding of how recording errors are perceived, as it is unclear how noise and distortion affects the perception of audio quality for many sounds. We will also develop algorithms for automatically evaluating quality. This three year EPSRC project commenced in april 2012, and partnered with the University of Salford team, is:
If you want to know more about the project, please contact Dr Paul Kendrick at email@example.com.
Although the focus is on user-generated content, professionals can also make poor recordings
The research is split into five areas:
Yes! Throughout the project we will be carrying out interactive web-experiments. If you would like to take part in one of these tests then please fill send us an email, firstname.lastname@example.org, you will be contacted when the experiments are up and running.