The Virtual Conference on Computational Audiology 2023 (VCCA, June 29-30, 2023 will be accepting abstracts on research, innovative projects, software, tools and other applications related to Computational Audiology.
Abstract deadline: May 1st 2023
Topics for VCCA2023
- Big data and (generative) AI in audiology and hearing healthcare
- AI and music perception
- Computational approaches to improving hearing devices and auditory implants
- Data-based and model-based investigations into hearing loss
- Hearing diagnostics and rehabilitation
- Speech recognition for hearing impaired persons
- The Virtual Hearing Clinic: e-Audiology and e-Research (remote hearing healthcare and virtual audiological care and interventions)
- Sustainable Hearing healthcare and accessibility (Green initiatives)
- Abstracts will have a length of up to 2000 characters (~300 words) (click here for an example abstract)
- Please structure into Background, Methods, Results, and Conclusions.
- Please upload at least one picture or figure with your abstract.
- Please provide a one-sentence summary to be posted with the abstract title on the website’s landing page.
- We strongly encourage you to submit a short, 2-minute video pitch about your project.
- Please provide author information
- Include authors and co-authors with names and affiliations.
- Main author must provide an e-mail address
- File management
- Provide the figure as JPEG or PNG. Name of file: [author_caption]
- Provide the videoclip in MP4 format. Name of file: [author_title]
- Windows: You can record a videoclip using the record function of powerpoint and than exporting the recording to MP4. Here’s a short manual by Microsoft office, a Wikihow about video presentations or another video instruction.
- MacOS: You can use Keynote and QuickTime Player or iMovie. Kaltura is a good platform for making educational videos.
- Please send any questions related to the abstract submission to abstracts2022@computationalaudiology.com
Publication of abstract on website
- All accepted submitted abstracts will be made available online on the VCCA website.
- By submitting an abstract, you consent to have it published on the VCCA website. We ask you to consent with a CCBY 4.0 license. Please check the clarification by creative commons:“The CCBY 4.0 license allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use.” It’s optional to upload, after consent, the 2-minute video clip to the computational audiology TV channel. Please check if you have the permissions to share the materials (including data & pictures) in your video.
- After your abstract has been processed, you will receive an E-Mail to confirm that we received it. The Scientific Committee will review the abstracts and once accepted, we will post it publicly on the VCCA website (www.computationalaudiology.com)
- After your abstract has been accepted, you will receive a registration number, for completing the registration procedure for presenters.
Submission deadline/timeline
- March 1st 2023: Abstract submission system opens
- May 1st 2023: Abstract deadline
- May 12th 2023: Decisions communicated (acceptance/rejection)
- June 8th 2023: Deadline submission of video recordings and slides
- June 29-30 2023: Conference
Young Scientist Award
- We will provide a VCCA2023 Young Scientist Award to the best contribution to the conference.
- The winner will be announced at the closing ceremony of the conference.
Video Pitch Award
- Impressed by last year’s submitted short video-clips, we will provide a VCCA2023 Video Pitch Award for the best video abstract. Submissions will be rated based on creativity, visualizations, and clarity of message among other aspects.
- The winner will be announced at the closing ceremony of the conference before the social program begins.
- Watch the winning pitches of 2022: Video by Nancy Sotero (VCCA2022 – Nancy Sotero – Electrophysiological and pupillometric measures and Video Marck R Saddler (VCCA2022 – Mark R Saddler – The role of temporal coding in everyday hearing)