Elevator AnnotatorLocal Crowdsourcing on Audio Annotation for Netherlands Institute for Sound and Vision

Anggarda Prameswari 2589263@student.vu.nl

Supervisor: Victor de BoerDaily Supervisor: Themistoklis Karavellas

Elevator AnnotatorWhat is it about?

▷ The rise of crowdsourcing practice in the community→Crowdsourcing is seen to be an attractive solution to acquire annotations cheaply and quickly

▷ Local crowdsourcing:→ Participants do the given tasks on site while overcoming challenges and influences posed by physical environment→ Example: Local visitors in a museum help annotate the painting collections

What about audio collections?

Background

Audio file

▷ An audio file consists of multiple information (metadata)▷ There are many musical instruments involved in a song▷ In a fragment of seconds there will different instrument

playing dominantly

Case study

▷ Netherlands Institute for Sound and Vision→ Largest audiovisual archive in the Netherlands→ To collect and preserve audiovisual heritage→Make it available to as many users as possible

▷ How? → Enriching the audio collection’s content by having additional information of the instruments→Make use of local crowdsourcing with pervasive computing→ Experimenting in an elevator (Why?)

→Used frequently, people will mostly be idle, thus ideal to ask for annotation

What do you hear?

Research Questions

“Can local crowdsourcing be used to enrich the audio collection content with improved quality?”

▷ What are the requirements for the crowdsourced annotations according to its technical and ethical aspects?

▷ How do different physical locations of the local crowdsourcing affect the result?

▷ How do different type of user interactions of the local crowdsourcing affect the result?

ApproachHow will it be carried out?

Approach(February - March)

▷ Implementation →Develop a system using Raspberry Pi as the platform

Approach(April - May)

▷ Experiments → Locations: Offers different institutional properties

→User interfaces: Offers different feedback to the user

▷ Evaluation →Accuracy of musical instrument identification→Willingness of crowd to participate→ Participation statistic

▷ Result→ Source codes with the prototype→Comprehensive report of evaluation

Approach(continuously - June)

Thanks!Any questions?