Spoken Indian Language Identification Database

Citation Author(s):
Aarti
Bakshi
Sunil Kumar
Kopparapu
TCS Research
Submitted by:
Sunil Kumar Kop...
Last updated:
Wed, 12/28/2022 - 01:25
DOI:
10.21227/xm4q-s210
Data Format:
mp3
Link to Paper:
Improving Indian Spoken-Language Identification by Feature Selection in Duration Mismatch Framework
License:
Creative Commons Attribution
1135 Views
Categories:
Artificial Intelligence
Digital signal processing
Machine Learning
Keywords:
language identification, spoken language, indian languages
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Abstract 

Spoken Indian Language Identification Database

(9 languages, 8 different utterance lengths)

Languages

  1. Assamese 
  2. Bengali 
  3. Gujarati 
  4. Hindi 
  5. Kannada 
  6. Malayalam 
  7. Marathi 
  8. Tamil 
  9. Telugu

Durations

  1. 30 sec
  2. 10 sec
  3. 5 sec
  4. 3 sec
  5. 1 sec
  6. 0.5 sec
  7. 0.2 sec
  8. 0.1 sec

 

 

Instructions: 

mp3 format

Comments

Several people have resquested for the complete dataset.
We will upload it as soon as my PhD student submit's her thesis.

Submitted by Sunil Kumar Kop... on Wed, 07/08/2020 - 07:27

Unable to load the database. Please email and check with us.

Submitted by Sunil Kumar Kop... on Wed, 12/28/2022 - 02:49

Dataset Files

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    Documentation

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    File Gives a brief description of what to expect in the database.857 bytes

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