Publication Details

A multi purpose and large scale speech corpus in Persian and English for speaker and speech Recognition: the DeepMine database

ZEINALI, H.; ČERNOCKÝ, J.; BURGET, L. A multi purpose and large scale speech corpus in Persian and English for speaker and speech Recognition: the DeepMine database. In IEEE Automatic Speech Recognition and Understanding Workshop - Proceedings (ASRU). Sentosa, Singapore: IEEE Signal Processing Society, 2019. p. 397-402. ISBN: 978-1-7281-0306-8.
Czech title
Víceúčelový velký řečový korpus perštiny a angličtiny pro rozpoznávání řeči a řečníka: databáze DeepMine
Type
conference paper
Language
English
Authors
Zeinali Hossein, Ph.D. (DCGM)
Černocký Jan, prof. Dr. Ing. (DCGM)
Burget Lukáš, doc. Ing., Ph.D. (DCGM)
URL
Keywords

speech database, text-dependent, text-independent, speaker verification, speech recognition

Abstract

DeepMine is a speech database in Persian and English designed to build and evaluate text-dependent, text-prompted, and textindependent speaker verification, as well as Persian speech recognition systems. It contains more than 1850 speakers and 540 thousand recordings overall, more than 480 hours of speech are transcribed. It is the first public large-scale speaker verification database in Persian, the largest public text-dependent and text-prompted speaker verification database in English, and the largest public evaluation dataset for text-independent speaker verification. It has a good coverage of age, gender, and accents. We provide several evaluation protocols for each part of the database to allow for research on different aspects of speaker verification. We also provide the results of several experiments that can be considered as baselines: HMM-based i-vectors for text-dependent speaker verification, and HMM-based as well as state-of-the-art deep neural network based ASR. We demonstrate that the database can serve for training robust ASR models.

Published
2019
Pages
397–402
Proceedings
IEEE Automatic Speech Recognition and Understanding Workshop - Proceedings (ASRU)
ISBN
978-1-7281-0306-8
Publisher
IEEE Signal Processing Society
Place
Sentosa, Singapore
DOI
10.1109/ASRU46091.2019.9003882
UT WoS
000539883100053
EID Scopus
2-s2.0-85081553484
BibTeX 
@inproceedings{BUT161477,
  author="Hossein {Zeinali} and Jan {Černocký} and Lukáš {Burget}",
  title="A multi purpose and large scale speech corpus in Persian and English for speaker and speech Recognition: the DeepMine database",
  booktitle="IEEE Automatic Speech Recognition and Understanding Workshop - Proceedings (ASRU)",
  year="2019",
  pages="397--402",
  publisher="IEEE Signal Processing Society",
  address="Sentosa, Singapore",
  doi="10.1109/ASRU46091.2019.9003882",
  isbn="978-1-7281-0306-8",
  url="https://www.fit.vut.cz/research/publication/12153/"
}
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