Diacorrect: Error Correction Back-End for Speaker Diarization
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F24%3APU152210" target="_blank" >RIV/00216305:26230/24:PU152210 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10446968" target="_blank" >https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10446968</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICASSP48485.2024.10446968" target="_blank" >10.1109/ICASSP48485.2024.10446968</a>
Alternative languages
Result language
angličtina
Original language name
Diacorrect: Error Correction Back-End for Speaker Diarization
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
ISBN
979-8-3503-4485-1
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
11181-11185
Publisher name
IEEE Signal Processing Society
Place of publication
Seoul
Event location
Seoul
Event date
Apr 14, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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