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Harvesting speech datasets for linguistic research on the web

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Abstract

This is a white paper for a project that harvested audio and transcribed data from podcasts and news broadcasts on the web. Tools were developed to analyze the different uses of prosody (rhythm, stress and intonation) within spoken communication using phonetic analysis and machine learning.

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NSF 1035151 RAPID: Harvesting Speech Datasets for Linguistic Research on the Web (Digging into Data Challenge) and SSHRC Digging into Data Challenge Grant 869-2009-0004.

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2013-10-29

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prosody; intonation; comparatives; machine learning; spoken language; web science

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Final project white paper, Digging into Data Challenge

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article

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