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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

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

ISBN

978-1-7281-0306-8

ISSN

—

e-ISSN

—

Počet stran výsledku

6

Strana od-do

397-402

Název nakladatele

IEEE Signal Processing Society

Místo vydání

Sentosa, Singapore

Místo konání akce

Automatic Speech Recognition and Understanding W

Datum konání akce

13. 11. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000539883100053