Evaluating human corrections in a computer-assisted speaker diarization system
Autor: | David Doukhan, Simon Petitrenaud, Jean Carrive, Pierre-Alexandre Broux, Sylvain Meignier |
---|---|
Přispěvatelé: | Laboratoire d'Informatique de l'Université du Mans (LIUM), Le Mans Université (UM), Institut National de l'Audiovisuel (INA) |
Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
050101 languages & linguistics
Linguistics and Language Sequence Computer science Speech recognition 05 social sciences Boundary (topology) 02 engineering and technology Library and Information Sciences Language and Linguistics Education [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI] Speaker diarisation [INFO.INFO-PF]Computer Science [cs]/Performance [cs.PF] [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing Metric (mathematics) 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing 0501 psychology and cognitive sciences [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC] Computational linguistics ComputingMilieux_MISCELLANEOUS |
Zdroj: | Language Resources and Evaluation Language Resources and Evaluation, Springer Verlag, 2020, ⟨10.1007/s10579-020-09493-6⟩ |
ISSN: | 1574-020X 1574-0218 |
DOI: | 10.1007/s10579-020-09493-6⟩ |
Popis: | In this paper, we present a framework to evaluate the human corrections of a speaker diarization system. We propose four elementary actions to correct the diarization (“Create a boundary”, “Delete a boundary”, “Create a speaker label” and “Change the speaker label”) and we propose an automaton to simulate the correction sequence. A metric is described to evaluate the correction cost. The framework is evaluated using French broadcast news drawn from the following campaigns: REPERE, ESTER and ETAPE. |
Databáze: | OpenAIRE |
Externí odkaz: |