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Automatic Assessment of the Speech of Young English Learners Jian Cheng1 , Yuan Zhao D’Antilio1 , Xin Chen1 , Jared Bernstein2 1 Knowledge Technologies, Pearson, Menlo Park, California, USA 2
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Document Date: 2014-07-15 11:24:09

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File Size: 210,33 KB

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City

Routledge / Baltimore / Palo Alto / /

Company

Pearson / Human Language Technologies / USA 2 Tasso Partners LLC / Bernstein / Russell / /

Continent

Asia / /

Country

United States / Netherlands / United Kingdom / /

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Facility

Cambridge University / Building Educational Applications / /

IndustryTerm

scoring algorithms / speech processing technology / neural networks / spoken language technologies / speech processing / automated speech assessment applications / maximum energy / spoken language technology / /

Organization

Acoustics Society / Hewlett Foundation / Cambridge University / Arizona Department of Education / North American Chapter / Association for Computational Linguistics / /

Person

B. Kingsbury / J. Cheng / P. Nguyen / A. Van Moere / H. Franco / V / J. Shen / Yuan Zhao / V. Vanhoucke / T. Sainath / D. Ollason / V / /

Position

Prime Minister / speaker / Rasch model for partial credit scoring / elementary school / reading tutor / /

ProvinceOrState

California / New York / Arizona / /

PublishedMedium

Computational Linguistics / /

Technology

spoken language technology / speech recognition / matching algorithm / neural network / 1 Knowledge Technologies / spoken language technologies / machine learning / speech processing technology / pdf / /

URL

http /

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