@inproceedings{mohammadamini-etal-2024-robovox,
    title = "{R}obo{V}ox: A Single/Multi-channel Far-field Speaker Recognition Benchmark for a Mobile Robot",
    author = "Mohammadamini, Mohammad  and
      Matrouf, Driss  and
      Rouvier, Michael  and
      Bonastre, Jean-Francois  and
      Serizel, Romain  and
      Gonos, Theophile",
    editor = "Calzolari, Nicoletta  and
      Kan, Min-Yen  and
      Hoste, Veronique  and
      Lenci, Alessandro  and
      Sakti, Sakriani  and
      Xue, Nianwen",
    booktitle = "Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)",
    month = may,
    year = "2024",
    address = "Torino, Italia",
    publisher = "ELRA and ICCL",
    url = "https://aclanthology.org/2024.lrec-main.1234",
    pages = "14152--14156",
    abstract = "In this paper, we introduce a new far-field speaker recognition benchmark called RoboVox. RoboVox is a French corpus recorded by a mobile robot. The files are recorded from different distances under severe acoustical conditions with the presence of several types of noise and reverberation. In addition to noise and reverberation, the robot{'}s internal noise acts as an extra additive noise. RoboVox can be used for both single-channel and multi-channel speaker recognition. In the evaluation protocols, we are considering both cases. The obtained results demonstrate a significant decline in performance in far-filed speaker recognition and urge the community to further research in this domain",
}

In this paper, we introduce a new far-field speaker recognition benchmark called RoboVox. RoboVox is a French corpus recorded by a mobile robot. The files are recorded from different distances under severe acoustical conditions with the presence of several types of noise and reverberation. In addition to noise and reverberation, the robot{'}s internal noise acts as an extra additive noise. RoboVox can be used for both single-channel and multi-channel speaker recognition. In the evaluation protocols, we are considering both cases. The obtained results demonstrate a significant decline in performance in far-filed speaker recognition and urge the community to further research in this domain
Mohammadamini, Mohammad Matrouf, Driss Rouvier, Michael Bonastre, Jean-Francois Serizel, Romain Gonos, Theophile
RoboVox: A Single/Multi-channel Far-field Speaker Recognition Benchmark for a Mobile Robot