Meaningful Memories: Navigating oral history interviews using LLM-based transcription and annotation for the Amsterdam Time Machine

We present Meaningful Memories, a pipeline for processing oral history interviews using AI. We will demo the proof-of-concept pipeline and show the benefits and challenges of using LLMs in this domain. To incorporate human feedback, we set up an annotation set-up to correct potential mistakes in the automatic output.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-29
DOI
https://doi.org/10.5281/zenodo.15543400
Primary Topic
Computational and Text Analysis Methods
Type
article
Field-Weighted Citation Impact
0.00
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article

Meaningful Memories: Navigating oral history interviews using LLM-based transcription and annotation for the Amsterdam Time Machine

Zenodo (CERN European Organization for Nuclear Research)
Computational and Text Analysis Methods
article

Meaningful Memories: Navigating oral history interviews using LLM-based transcription and annotation for the Amsterdam Time Machine

article en

Abstract

We present Meaningful Memories, a pipeline for processing oral history interviews using AI. We will demo the proof-of-concept pipeline and show the benefits and challenges of using LLMs in this domain. To incorporate human feedback, we set up an annotation set-up to correct potential mistakes in the automatic output.

Zenodo (CERN European Organization for Nuclear Research)
SURFsara (Netherlands) (NL), Vrije Universiteit Amsterdam (NL), University of Amsterdam (NL)
Openalex Percentile: Top 46%
Computational and Text Analysis Methods
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