Voice/Speech Data Contributor (In-car Speech Recognition Speech Collection Project in Farmington, MI)

    Appen Published: December 5, 2018
    Location
    Farmington Hills, MI, United States of America
    Job Type

    Description

    Appen is a global leader in the development of high-quality, human-annotated datasets for machine learning and artificial intelligence.

    We are currently seeking research participants for an in-car project that we are running out of our office in Farmington Hills, MI. Participants will be driven in Appen vehicles by Appen employees while being recorded in a variety of acoustic environments.

    The audio data collected in this project will be used to test the accuracy of in-car speech recognition systems.

    In order to be eligible for this project, you must:

    • Be a native speaker of US or Canadian English (must be within the following accent groups)
    • Asian-American
    • Hispanic (Native Bilingual in English and Spanish)
    • North Central - e.g., Minneapolis, Madison, Sioux City
    • Eastern New England - e.g., Boston, Down East Maine, Providence
    • Western New England - e.g., Worcester, Burlington (includes upstate New York)
    • New York City - including western Long Island and northern New Jersey
    • South Midland - e.g., Philadelphia, Cincinnati, Indianapolis, Kansas City
    • North Midland - e.g., Pittsburgh, St. Louis, Des Moines, Omaha
    • Coastal Southeast - e.g., Charleston, Savannah
    • Southern - e.g., Memphis, Atlanta, Jackson, New Orleans, Dallas, Houston
    • Western - e.g., Seattle, San Diego, Las Vegas, Phoenix, Billings, Portland
    • Canada - e.g., Toronto, Montreal (English-speaking), Winnipeg, Calgary, Vancouver
    • African-American
    • French-Canadian
    • Inland North - e.g., Buffalo, Cleveland, Detroit, Chicago
    • Be 18 years old or older
    • Be able to commute to the Farmington Hills, MI office for a recording session

    Recording sessions last 2 hours, 4 hours and 6 hours, and compensate between $65 and $195 USD depending on session length. Compensation is in the form of an e-Mastercard gift card.

    To Apply, click the link below and fill out the form:

    https://goo.gl/forms/vQi66yzcdEVzjFsj2

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