@inproceedings{ajili-etal-2016-fabiole,
title = "{FABIOLE}, a Speech Database for Forensic Speaker Comparison",
author = "Ajili, Moez and
Bonastre, Jean-Fran{\c{c}}ois and
Kahn, Juliette and
Rossato, Solange and
Bernard, Guillaume",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Goggi, Sara and
Grobelnik, Marko and
Maegaard, Bente and
Mariani, Joseph and
Mazo, Helene and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Tenth International Conference on Language Resources and Evaluation ({LREC}'16)",
month = may,
year = "2016",
address = "Portoro{\v{z}}, Slovenia",
publisher = "European Language Resources Association (ELRA)",
url = "https://aclanthology.org/L16-1115",
pages = "726--733",
abstract = "A speech database has been collected for use to highlight the importance of {``}speaker factor{''} in forensic voice comparison. FABIOLE has been created during the FABIOLE project funded by the French Research Agency (ANR) from 2013 to 2016. This corpus consists in more than 3 thousands excerpts spoken by 130 French native male speakers. The speakers are divided into two categories: 30 target speakers who everyone has 100 excerpts and 100 {``}impostors{''} who everyone has only one excerpt. The data were collected from 10 different French radio and television shows where each utterance turns with a minimum duration of 30s and has a good speech quality. The data set is mainly used for investigating speaker factor in forensic voice comparison and interpreting some unsolved issue such as the relationship between speaker characteristics and system behavior. In this paper, we present FABIOLE database. Then, preliminary experiments are performed to evaluate the effect of the {``}speaker factor{''} and the show on a voice comparison system behavior.",
}
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%0 Conference Proceedings
%T FABIOLE, a Speech Database for Forensic Speaker Comparison
%A Ajili, Moez
%A Bonastre, Jean-François
%A Kahn, Juliette
%A Rossato, Solange
%A Bernard, Guillaume
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Goggi, Sara
%Y Grobelnik, Marko
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Mazo, Helene
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC’16)
%D 2016
%8 May
%I European Language Resources Association (ELRA)
%C Portorož, Slovenia
%F ajili-etal-2016-fabiole
%X A speech database has been collected for use to highlight the importance of “speaker factor” in forensic voice comparison. FABIOLE has been created during the FABIOLE project funded by the French Research Agency (ANR) from 2013 to 2016. This corpus consists in more than 3 thousands excerpts spoken by 130 French native male speakers. The speakers are divided into two categories: 30 target speakers who everyone has 100 excerpts and 100 “impostors” who everyone has only one excerpt. The data were collected from 10 different French radio and television shows where each utterance turns with a minimum duration of 30s and has a good speech quality. The data set is mainly used for investigating speaker factor in forensic voice comparison and interpreting some unsolved issue such as the relationship between speaker characteristics and system behavior. In this paper, we present FABIOLE database. Then, preliminary experiments are performed to evaluate the effect of the “speaker factor” and the show on a voice comparison system behavior.
%U https://aclanthology.org/L16-1115
%P 726-733
Markdown (Informal)
[FABIOLE, a Speech Database for Forensic Speaker Comparison](https://aclanthology.org/L16-1115) (Ajili et al., LREC 2016)
ACL
- Moez Ajili, Jean-François Bonastre, Juliette Kahn, Solange Rossato, and Guillaume Bernard. 2016. FABIOLE, a Speech Database for Forensic Speaker Comparison. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 726–733, Portorož, Slovenia. European Language Resources Association (ELRA).