Far-Field Speaker Recognition Benchmark Derived From The DiPCo Corpus

Mickael Rouvier, Mohammad Mohammadamini


Abstract
In this paper, we present a far-field speaker verification benchmark derived from the publicly-available DiPCo corpus. This corpus comprise three different tasks that involve enrollment and test conditions with single- and/or multi-channels recordings. The main goal of this corpus is to foster research in far-field and multi-channel text-independent speaker verification. Also, it can be used for other speaker recognition tasks such as dereverberation, denoising and speech enhancement. In addition, we release a Kaldi and SpeechBrain system to facilitate further research. And we validate the evaluation design with a single-microphone state-of-the-art speaker recognition system (i.e. ResNet-101). The results show that the proposed tasks are very challenging. And we hope these resources will inspire the speech community to develop new methods and systems for this challenging domain.
Anthology ID:
2022.lrec-1.209
Volume:
Proceedings of the Thirteenth Language Resources and Evaluation Conference
Month:
June
Year:
2022
Address:
Marseille, France
Editors:
Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
1955–1959
Language:
URL:
https://aclanthology.org/2022.lrec-1.209
DOI:
Bibkey:
Cite (ACL):
Mickael Rouvier and Mohammad Mohammadamini. 2022. Far-Field Speaker Recognition Benchmark Derived From The DiPCo Corpus. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 1955–1959, Marseille, France. European Language Resources Association.
Cite (Informal):
Far-Field Speaker Recognition Benchmark Derived From The DiPCo Corpus (Rouvier & Mohammadamini, LREC 2022)
Copy Citation:
PDF:
https://aclanthology.org/2022.lrec-1.209.pdf
Data
DiPCoVoxCeleb2