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oral history and technology - integrating digital tools in the scholarly workflow

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Academic year: 2021

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From 19 to 21 September 2018 a group of speech technologists, social scientists, linguists, computer scientists, oral historians and information scientists engaged with a variety of digital tools to explore the integration of digital tools in the research process of scholars who work with interviews.

Tool = ANNOTATION

Elan

Time linked annotation tool for audio and video

Annotation tool for rich text and multimedia qualitative data analysis ELAN: “I would use this for an exploratory analysis of my oral history data.”

NVIVO: “It makes such a difference to be able to analyze all of your transcripts and AV-data in one single environment.”

Data

AV Media Transcripts

Cleaning Up

Watching/

Listening AV Files

Reading Transcripts

Hermeneutics

Interpreting Conclusion

Presenting

Results

Tool = TCHAIN (OH Portal)

T-Chain: “This is a very accessible application. Definitely something I will try again.” “It’s great that this can be used for different languages.”

Tool = Linguistic (lexical/semantic) approaches

On-the-fly online text analysis tool; no preprocessing

Textometric analysis; preprocessing.

XML editor for splitting speakers;

Tree-tagger for classifying words

On-the-fly text mining NLP tool; no preprocessing

Tool = emotion recognition Praat

Acoustic signal tool (speech, silences, emotions, speaker turn)

Voyant: “I’d like the tool to be more transparent about

how it generates a word cloud.” Arjan van Hessen, Louise Corti, Stef Scagliola, Silvia Calamai, Christoph Draxler, Norah Karrouch, Max Broekhuisen, Maureen Haaker

Convert audio to text (ASR), align audio and text

Elan: “I’d like the tool to be more transparent about how it generates a word cloud.”

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