Literature DB >> 33732435

A studyforrest extension, an annotation of spoken language in the German dubbed movie "Forrest Gump" and its audio-description.

Christian Olaf Häusler1,2, Michael Hanke1,2.   

Abstract

Here we present an annotation of speech in the audio-visual movie "Forrest Gump" and its audio-description for a visually impaired audience, as an addition to a large public functional brain imaging dataset ( studyforrest.org). The annotation provides information about the exact timing of each of the more than 2500 spoken sentences, 16,000 words (including 202 non-speech vocalizations), 66,000 phonemes, and their corresponding speaker. Additionally, for every word, we provide lemmatization, a simple part-of-speech-tagging (15 grammatical categories), a detailed part-of-speech tagging (43 grammatical categories), syntactic dependencies, and a semantic analysis based on word embedding which represents each word in a 300-dimensional semantic space. To validate the dataset's quality, we build a model of hemodynamic brain activity based on information drawn from the annotation. Results suggest that the annotation's content and quality enable independent researchers to create models of brain activity correlating with a variety of linguistic aspects under conditions of near-real-life complexity. Copyright:
© 2021 Häusler CO and Hanke M.

Entities:  

Keywords:  annotation; fMRI; language; narrative; naturalistic stimulus; speech; studyforrest

Year:  2021        PMID: 33732435      PMCID: PMC7921887          DOI: 10.12688/f1000research.27621.1

Source DB:  PubMed          Journal:  F1000Res        ISSN: 2046-1402


  34 in total

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Review 3.  A review and synthesis of the first 20 years of PET and fMRI studies of heard speech, spoken language and reading.

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4.  Optimizing methods for linking cinematic features to fMRI data.

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5.  Coupled neural systems underlie the production and comprehension of naturalistic narrative speech.

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Journal:  Proc Natl Acad Sci U S A       Date:  2014-09-29       Impact factor: 11.205

Review 6.  Towards clinical applications of movie fMRI.

Authors:  Simon B Eickhoff; Michael Milham; Tamara Vanderwal
Journal:  Neuroimage       Date:  2020-05-04       Impact factor: 6.556

7.  Phonetic feature encoding in human superior temporal gyrus.

Authors:  Nima Mesgarani; Connie Cheung; Keith Johnson; Edward F Chang
Journal:  Science       Date:  2014-01-30       Impact factor: 47.728

8.  An annotation of cuts, depicted locations, and temporal progression in the motion picture "Forrest Gump".

Authors:  Christian O Häusler; Michael Hanke
Journal:  F1000Res       Date:  2016-09-08

9.  Emotionotopy in the human right temporo-parietal cortex.

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Journal:  Nat Commun       Date:  2019-12-05       Impact factor: 14.919

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  2 in total

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