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Reason: The data is considered sensitive and the consent form signed by participants and guardians did not allow for publicly accessible data. To adhere to open science requirements the de-identified data will be made available to approved researchers on request. Request for access can be sent to the data custodians Felicity Cox (felicity.cox@mq.edu.au) or Joshua Penney (joshua.penney@mq.edu.au)

Multicultural Australian English: Voices of Sydney (MAE-VoiS)

dataset
posted on 2024-04-11, 09:06 authored by Felicity CoxFelicity Cox, Joshua PenneyJoshua Penney

Multicultural Australian English: The New Voice of Sydney (MAE-VoiS) is a project funded under the Australian Research Council Future Fellowship scheme. The aim of the project is to help us understand the speech patterns of young people from complex culturally and linguistically diverse communities across Sydney. Understanding how adolescents from different ethnicities use speech patterns to symbolically express their diverse sociocultural identities offers a window into understanding a rapidly changing Australian society.

Australia is one of the most ethnically diverse communities in the world yet the complex relationship between speech production and cultural diversity is largely unknown in 21st century multicultural Australia. Our current understanding of speech patterns in Australia is based on an Anglo-centric model that does not represent the community in which we live. Through this project we will generate an integrated and inclusive model of Australian English, based on our meticulous phonetic analysis of young people's speech. Project outcomes are expected to inform sociophonetic theories of variation, ethnicity, and identity. A unified model of Australian English that provides a structure to underpin advances in speech research at the intersection of phonetics/phonology, ethnicity, and society is critical for a deeper understanding of speech patterns in child language acquisition, atypical populations, second language learners, youth social cohesion; and for applications associated with immigration, refugee/asylum seeker integration, forensic speech science, national security, law enforcement, and social robotics.

The MAE-VoiS corpus comprises audio recordings of 186 teenagers from 38 language backgrounds who each engaged in a picture naming task and a conversation with a peer facilitated by a local research assistant. Participants also completed an extensive ethnic orientation survey, and their parents completed a demographic/language survey. Speakers were located in five separate areas in Sydney that varied according to the dominant language backgrounds of speakers in the communities (four non-English dominant areas – Bankstown, Cabramatta/Fairfield, Inner West, Parramatta; and one English dominant area – Northern Beaches).

Funding

The new voice of Multicultural Australian English

Australian Research Council

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History

Research Project ID

PURE ID 93980553

Q/A Log

  • FAIR assessment completed
  • Institutional review completed

FAIR Self Assessment Summary

This text has been generated from a tool that has been adapted from the ARDC FAIR Assessment Tool Findable -------- Does the dataset have any identifiers assigned? Global Is the dataset identifier included in all metadata records/files describing the data? Yes How is the data described with metadata? Comprehensively (see suggestion) using a recognised formal machine-readable metadata schema What type of repository or registry is the metadata record in? Data is in one place but discoverable through several registries Accessible ---------- How accessible is the data? Fully accessible to persons who meet explicitly stated conditions, e.g. ethics approval for sensitive data Is the data available online without requiring specialised protocols or tools once access has been approved? File download from online location Will the metadata record be available even if the data is no longer available? Yes Interoperable ------------- What (file) format(s) is the data available in? Mostly in a proprietary format What best describes the types of vocabularies/ontologies/tagging schemas used to define the data elements? Standardised vocabularies/ontologies/schema without global identifiers How is the metadata linked to other data and metadata (to enhance context and clearly indicate relationships)? The metadata record includes URI links to related metadata, data and definitions Reusable -------- Which of the following best describes the license/usage rights attached to the data? Standard machine-readable license (e.g. Creative Commons) How much provenance information has been captured to facilitate data reuse? Fully recorded in a machine-readable format

FAIR Self Assessment Rating

  • 4 Stars

Data Sensitivity

  • Sensitive