Publication detail

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.

Original Title

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

Type

conference paper

Language

English

Original 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.

Keywords

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

Authors

ZEINALI, H.; ČERNOCKÝ, J.; BURGET, L.

Released

14. 12. 2019

Publisher

IEEE Signal Processing Society

Location

Sentosa, Singapore

ISBN

978-1-7281-0306-8

Book

IEEE Automatic Speech Recognition and Understanding Workshop - Proceedings (ASRU)

Pages from

397

Pages to

402

Pages count

6

URL

https://www.fit.vut.cz/research/publication/12153/

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/"
}