School of Human Sciences

Institute of Lifecourse Development

University of Greenwich

London SE10 9LS

www.superrecognisers.com

super-recognisers@greenwich.ac.uk

Twitter: @GRecognisers

https://orcid.org/0000-0003-0017-7159

https://www.gre.ac.uk/pg/eduhea/psych



University of Greenwich: Face and Voice Recognition Lab


Call for Participants: Voice recording project (£10 Amazon voucher for 15 minutes)


The Face and Voice Recognition Lab at the University of Greenwich is currently recruiting participants for a voice recording study to create stimuli for an updated version of a voice recognition test. The current version of the test, designed by PhD student, Ryan Jenkins, was featured on BBC1’s Crimewatch Live (Link Here). We are looking to expand this test.


We are therefore asking volunteers to take part in a voice-recording session, most of which requires reading a few sentences from a script (15 minutes).


Any participant who contributes to this research will receive a £10 Amazon voucher. We will also organise a prize draw for an additional £50 Amazon voucher to all volunteers!


1. What am I being asked to do?


For this project, I am asking to take part in an online voice recording study, whereby you will record your voice whilst reading a simple and short script to generate stimuli for the creation of a new voice recognition test.


You will also be asked for some demographic information (e.g., age, gender, and ethnicity), as these have been shown to impact voice recognition performances.


2. Do I need anything before taking part?


If possible, please download and load Audacity® to your laptop or other system. This is a free and safe audio recording and editing software (Download Here). If possible, please use a microphone (e.g., headphone microphones etc.). We will be able to help with the Audacity download. We cannot use another system for this project.


3. How long will it take?


Once everything is set up, the recording itself will take between 5 – 10 minutes. You will be asked to send the files back to me, but a talk through will be provided after the recording if you are unsure how to do this. From start to finish, the session should take no longer than 20 minutes.


4. Criteria for participation


· Male or female

· You must be aged between 18 and 27 years

· You must have English accent

· Your parents’ first language must be English


Note – ANY English accent is perfect. However, we definitely need many more speakers who speak with a “Southern Standard British English” or “Received Pronunciation” accent, as too few participants with this accent, who mostly live in London and the South East of England have currently contributed.


Interested? If yes, then please get in contact with Ryan Jenkins at ryan.jenkins@greenwich.ac.uk and we will send additional information and book you in.


Why not use voices from a database?


We are asking for volunteers to supply voices in this project, rather than using an external voice database. The reason for this is that anyone who takes our test can be assured that the people who provided their voice provided full consent. We want to make sure we are following best research and ethical practice. As most people who provide stimuli are volunteers who take part in our research, they will be fully informed about how their voices will be used when providing consent.


At the bottom of this blog is information about ethics, GDPR, and privacy, and anonymity and how we protect participants’ rights if they supply such stimuli.

Thank you for your support.


Any questions, please e-mail: super-recognisers@greenwich.ac.uk


Ethics, data protection and privacy


1. Professor Josh P Davis is a Chartered Psychologist and an Associate Fellow of the British Psychological Society (BPS) and is therefore bound to follow BPS ethics policy (https://www.bps.org.uk/news-and-policy/bps-code-ethics-and-conduct). He is also a member of staff of the University of Greenwich. All projects are approved by the University of Greenwich Research Ethics Committee (UREC) (https://www.gre.ac.uk/research/governance-and-awards/research-ethics-committee), although collaborations with other universities may first be approved by their ethics board and noted by UREC.

2. The voice recording procedure was first approved by the University of Greenwich Research Ethics Committee in 2018 (17.4.5.16). An amendment was approved by the same committee in 2022.

3. All research data and voice clips stored by the University of Greenwich are retained on a password protected database, and procedures are compliant with General Data Protection Regulation (GDPR) requirements, tailored by the Data Protection Act 2018 (https://ico.org.uk/for-organisations/guide-to-data-protection/guide-to-the-general-data-protection-regulation-gdpr/) and the University of Greenwich data protection policy (https://docs.gre.ac.uk/rep/vco/data-protection-policy).

4. All volunteers on the Face and Voice Recognition lab database have been invited to provide voice samples (many as part of an invite to contribute to other research). Because there are so many people on the database there is virtually zero possibility of identifying anyone who contributes their voice.

5. Participants make up a personal code when providing voice samples – we do not use their normal anonymous codes issued for our research.

6. Once a participant completes the study, and there are no issues with the voice recording (e.g., background noise, static microphone etc.) they will receive a £10 Amazon voucher and be put in with a chance to win an additional £50 Amazon voucher.

7. All voice recordings will be edited and separated into individual voice samples. This is for allowing us to appropriately select which voice clip is best suited for a stage of the test.

8. As recruitment is via e-mail. It is possible that the identity of each participant is known to the researcher. However, all voice samples are anonymously coded on the database, linked only by a common code used to match the voices supplied by the individual (e.g., V001_S1V1, V001_S2V1, V001_S3V1 etc etc).

9. We will retain age, gender, and ethnicity information against the voice files for quick searching. For instance, we may wish to pair two voices from the same demographic background who might be mistaken for one another.

10. Voice samples may be used in various online tests in future – there are different levels of consent (e.g., we may provide example voice clips in the media for educational purposes, and we ask for extra consent for this in advance).

11. If you hear your voice being used in one of our tests and you wish us to delete this, then please make a note of the test name and ideally trial number in that test and please contact super-recognisers@greenwich.ac.uk.​​ If you remember the personal code you gave us with the photo it might help us identify it too.




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