Publication Details
Diacorrect: Error Correction Back-End for Speaker Diarization
Landini Federico Nicolás (DCGM FIT BUT)
Rohdin Johan A., Dr. (DCGM FIT BUT)
Diez Sánchez Mireia, M.Sc., Ph.D. (DCGM FIT BUT)
Burget Lukáš, doc. Ing., Ph.D. (DCGM FIT BUT)
Černocký Jan, prof. Dr. Ing. (DCGM FIT BUT)
Speaker diarization, error correction, conversational telephone speech
In this work, we propose an error correction framework, named DiaCorrect, to refine the output of a diarization system in a simple yet effective way. This method is inspired by error correction techniques in automatic speech recognition. Our model consists of two parallel convolutional encoders and a transformerbased decoder. By exploiting the interactions between the input recording and the initial system's outputs, DiaCorrect can automatically correct the initial speaker activities to minimize the diarization errors. Experiments on 2-speaker telephony data show that the proposed DiaCorrect can effectively improve the initial model's results. Our source code is publicly available at https://github.com/BUTSpeechFIT/diacorrect.
@INPROCEEDINGS{FITPUB13268,
author = "Jiangyu Han and Nicol\'{a}s Federico Landini and A. Johan Rohdin and Mireia S\'{a}nchez Diez and Luk\'{a}\v{s} Burget and Jan \v{C}ernock\'{y}",
title = "Diacorrect: Error Correction Back-End for Speaker Diarization",
pages = "11181--11185",
booktitle = "ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)",
year = 2024,
location = "Seoul, KR",
publisher = "IEEE Signal Processing Society",
ISBN = "979-8-3503-4485-1",
doi = "10.1109/ICASSP48485.2024.10446968",
language = "english",
url = "https://www.fit.vut.cz/research/publication/13268"
}