Automatic Transcription Systems: A Game Changer for Court Hearings

Alan Lyra, Carlos Barbosa, Carlos Barbosa, Herbert Salazar, Matheus Argôlo, Yuri Lima, Rebeca Motta, Jano Moreira de Souza

2024

Abstract

Lawsuits typically require a long time for resolution, and many court hearings may occur during the trial process. Legally, both parties must transcribe them and be open to the public if desired by the court. In court proceedings, a transcript is a record of all judges’ decisions, the spoken arguments by the lawyers, and the depositions of the defense and witnesses. The scenario in Brazil is that for a long time, this process was manual, with a person responsible for the typing transcription. Today, with the electronic process, the court does not provide typed transcriptions anymore, but instead, the audio or video recordings of the hearings. In our work, we developed an automatic transcription solution for court hearings to obtain the best possible transcription considering current technologies’ limitations, recording quality, participants’ diction, and commonly used jargon in the legal sphere. With this work, we expect to ease this burdensome task with technical support and have a direct contribution to the legal environment.

Paper Citation

in Harvard Style

Lyra A., Barbosa C., Salazar H., Argôlo M., Lima Y., Motta R. and Moreira de Souza J. (2024). Automatic Transcription Systems: A Game Changer for Court Hearings. In Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS; ISBN 978-989-758-716-0, SciTePress, pages 163-174. DOI: 10.5220/0012891400003838

in Bibtex Style

@conference{kmis24,
author={Alan Lyra and Carlos Barbosa and Herbert Salazar and Matheus Argôlo and Yuri Lima and Rebeca Motta and Jano Moreira de Souza},
title={Automatic Transcription Systems: A Game Changer for Court Hearings},
booktitle={Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS},
year={2024},
pages={163-174},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012891400003838},
isbn={978-989-758-716-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS
TI - Automatic Transcription Systems: A Game Changer for Court Hearings
SN - 978-989-758-716-0
AU - Lyra A.
AU - Barbosa C.
AU - Salazar H.
AU - Argôlo M.
AU - Lima Y.
AU - Motta R.
AU - Moreira de Souza J.
PY - 2024
SP - 163
EP - 174
DO - 10.5220/0012891400003838
PB - SciTePress