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ISCAN: a System for Integrated Phonetic Analyses Across Speech Corpora
McAuliffe, Michael; Coles, Arlie; Goodale, Michael; Mihuc, Sarah; Wagner, Michael; Stuart-Smith, Jane; Sonderegger, Morgan. - : Australasian Speech Science and Technology Association Inc., 2019
Abstract: Speech corpora of many languages, styles, and formats exist in the world, representing significant potential for the phonetic sciences. However in practice there are significant practical and methodological barriers to conducting the “same study” across corpora, including necessary technical skills and non-comparability of results using non-standardized measures. We introduce an open-source software system for Integrated Speech Corpus ANalysis (ISCAN), which enables automated acoustic phonetic analysis across spoken corpora of diverse formats and sizes. A web-browser-based GUI and Python package allow for different user backgrounds. The system is a major update of core functionality for fully- automated speech corpus analysis (importing, enriching, querying) from a previous version, to meet new goals: different user configurations, working with restricted datasets, and interacting with data (visualization and correction). The system’s flexibility for different projects is shown in two use cases: large-scale automatic segmental analysis of spontaneous speech across English dialects, and smallerscale semi-automatic prosodic analysis.
Keyword: P Philology. Linguistics
URL: http://eprints.gla.ac.uk/183719/
http://eprints.gla.ac.uk/183719/1/183719.pdf
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2
Large-scale Acoustic Analysis of Dialectal and Social Factors in English /s/-retraction
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3
Age Vectors vs. Axes of Intraspeaker Variation in Vowel Formants Measured Automatically From Several English Speech Corpora
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4
Structured Speaker Variability in Spontaneous Japanese Stop Contrast Production
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