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    Audio-augmented arboreality: wildflowers and language

    82367.pdf (283.7Kb)
    Access Status
    Open access
    Authors
    Rahaman, Hafizur
    Johnston, Michelle
    Champion, Erik
    Date
    2021
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Rahaman, H. and Johnston, M. and Champion, E. 2021. Audio-augmented arboreality: wildflowers and language. Digital Creativity. 31 (4).
    Source Title
    Digital Creativity
    DOI
    10.1080/14626268.2020.1868536
    ISSN
    1744-3806
    Faculty
    Faculty of Humanities
    School
    School of Media, Creative Arts and Social Inquiry
    URI
    http://hdl.handle.net/20.500.11937/82325
    Collection
    • Curtin Research Publications
    Abstract

    Before colonization, there were over 250 languages spoken in Australia. Today only thirteen Indigenous languages are still being taught to children. Language has an important part to play in cultural maintenance and ‘closing the gap’ in terms of First Peoples’ cultural heritage, identity, and sense of belonging. In this work, we aim to develop an engaging and easy way to teach and learn the local Indigenous names of wildflowers using a mobile device. This paper presents the development of a phone application that runs on a local machine, recognizes local wildflowers through its camera, and plays associated sounds and displays associated text in the Noongar language. The prototype mobile application has been developed with MobileNets model on the TensorFlow platform. The dataset is derived from Google searches, while the sound files are generated from label text by running an apple script. UI and interactivity have been developed by using Vuforia and the Unity game engine. Finally, the Android Studio is used to deploy the app. At this point in time, the prototype can only recognize ten local flowers, with 85%∼99% of accuracy. We are working with a larger dataset towards developing the full application.

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