Urdu Raw Speech Corpus

Urdu Raw Speech Corpus

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Catalogue Number: A-020
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99:18:21 Hours | 64.2 GB | 499 Speakers | 88,708 Audio Segments | 48 kHz | 16 bit wav. 
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Dataset Description

99:18:21 Hours | 64.2 GB | 499 Speakers | 88,708 Audio Segments | 48 kHz | 16 bit wav. 

Urdu is one of the Modern Indo-Aryan languages of India. It evolved from Shaurseni Apabhramsha. It uses Persio-Arabic script. The language in a region is influenced by other languages of the region, mother tongue of the speaker, etc. The reading speed, loudness, frequency etc. also differ depending on certain factors like age, gender etc. Linguistic data consortium collected the speech corpus through fieldwork. This read data is collected from various age groups of male and female native speakers. This data includes Texts, Sentences, Date Formats, and different wordlists.


The available Speech Corpus details: 


            Total Speakers - 499 (252 Female and 247 Male)


Domains

Audio Segments

Each Domain

Duration

Contemporary Text (News)

431

25:35:02

Creative Text

433

19:40:11

Sentence

10,646

8:00:38

Date Format

846

0:43:37

Command and Control Words

13,580

9:21:01

Person Name

6,577

2:55:41

Place Name

4,273

1:09:17

Most Frequent Word - Part

12,802

7:46:28

Most Frequent Word - Full Set

18,927

11:38:30

Phonetically Balanced Vocabulary

13,646

8:13:20

Form and Function Word

6,547

4:14:36


A detailed explanation of the Urdu Speech Corpus will be available in the Urdu Speech Data Documentation.

For any research based citations, please use the following citations: 

  • Ramamoorthy, L., Narayan Choudhary,  Mansoor Khan, Shahnawaz Alam,  Bi Bi Mariyam & Rushda Idris Khan. 2019. Urdu Raw Speech Corpus. Central Institute of Indian Languages, Mysore.
  • Choudhary, Narayan, Rajesha N., Manasa G. & L. Ramamoorthy. 2019. “LDC-IL Raw Speech Corpora: An Overview”  in Linguistic Resources for AI/NLP in Indian Languages. Central Institute of Indian Languages, Mysore.  pp. 160-174.

Item specifics

  • Authors Ramamoorthy L., Narayan Choudhary, Mansoor Khan, Shahnawaz Alam, Bi Bi Mariyam, Rushda Idris Khan,
  • Corpus Type Raw Corpus
  • Catalogue Number 1177
  • ISBN 978-81-7343-276-7
  • Data Source On Field
  • Duration 99:18:21
  • # of Audio Segments 88708
  • Release Date 04/04/2019
  • Terms and Conditions General instructions for use of the resources provided by LDC-IL.
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