A multi purpose and large scale speech corpus in Persian and English for speaker and speech Recognition: the DeepMine database
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F19%3APU134977" target="_blank" >RIV/00216305:26230/19:PU134977 - isvavai.cz</a>
Result on the web
<a href="https://www.fit.vut.cz/research/publication/12153/" target="_blank" >https://www.fit.vut.cz/research/publication/12153/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ASRU46091.2019.9003882" target="_blank" >10.1109/ASRU46091.2019.9003882</a>
Alternative languages
Result language
angličtina
Original language name
A multi purpose and large scale speech corpus in Persian and English for speaker and speech Recognition: the DeepMine database
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
IEEE Automatic Speech Recognition and Understanding Workshop - Proceedings (ASRU)
ISBN
978-1-7281-0306-8
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
397-402
Publisher name
IEEE Signal Processing Society
Place of publication
Sentosa, Singapore
Event location
Automatic Speech Recognition and Understanding W
Event date
Nov 13, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000539883100053