Enhancing access to Danish radio and television archives through advanced speech-to-text technologies

Lasse Rogers Nielsen; Lars Flemming  Mydtskov; Ditte Laursen

Enhancing access to Danish radio and television archives through advanced speech-to-text technologies

Lasse Rogers Nielsen
, Lars Flemming Mydtskov
, Ditte Laursen

Det Kgl. Bibliotek

Publikation: Konferencebidrag › Konferenceabstrakt til konference › Forskning › peer review

Abstract

This project aims to leverage the implementation of advanced Automatic Speech Recognition (ASR) systems to enable text-based searches within the Danish Royal Library’s extensive radio and television archives. Based on the Whisper ASR model, this research demonstrates how fine-tuning the model to Danish-language content can make these vast archives significantly more accessible and searchable for research.

Originalsprog	Engelsk
Publikationsdato	5 dec. 2024
Status	Udgivet - 5 dec. 2024
Begivenhed	Computational Humanities Research Conference - Aarhus University, Aarhus, Danmark Varighed: 4 dec. 2024 → 6 dec. 2024 https://2024.computational-humanities-research.org/

Konference

Konference	Computational Humanities Research Conference
Lokation	Aarhus University
Land/Område	Danmark
By	Aarhus
Periode	04/12/2024 → 06/12/2024
Internetadresse	https://2024.computational-humanities-research.org/

Citationsformater

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AU - Mydtskov, Lars Flemming

AU - Laursen, Ditte

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Y1 - 2024/12/5

N2 - This project aims to leverage the implementation of advanced Automatic Speech Recognition (ASR) systems to enable text-based searches within the Danish Royal Library’s extensive radio and television archives. Based on the Whisper ASR model, this research demonstrates how fine-tuning the model to Danish-language content can make these vast archives significantly more accessible and searchable for research.

AB - This project aims to leverage the implementation of advanced Automatic Speech Recognition (ASR) systems to enable text-based searches within the Danish Royal Library’s extensive radio and television archives. Based on the Whisper ASR model, this research demonstrates how fine-tuning the model to Danish-language content can make these vast archives significantly more accessible and searchable for research.

M3 - Conference abstract for conference

T2 - Computational Humanities Research Conference

Y2 - 4 December 2024 through 6 December 2024

ER -