Resource: GlobalPhone Croatian
|Date of Submission||Jan. 24, 2014, 4:29 p.m.|
|Resource Type||Primary Text|
The GlobalPhone corpus developed in collaboration with the Karlsruhe Institute of Technology (KIT) was designed to provide read speech data for the development and evaluation of large continuous speech recognition systems in the most widespread languages of the world, and to provide a uniform, multilingual speech and text database for language independent and language adaptive speech recognition as well as for language identification tasks.
The entire GlobalPhone corpus enables the acquisition of acoustic-phonetic knowledge of the following 20 spoken languages: Arabic (ELRA-S0192), Bulgarian (ELRA-S0319), Chinese-Mandarin (ELRA-S0193), Chinese-Shanghai (ELRA-S0194), Croatian (ELRA-S0195), Czech (ELRA-S0196), French (ELRA-S0197), German (ELRA-S0198), Hausa (ELRA-S0347), Japanese (ELRA-S0199), Korean (ELRA-S0200), Polish (ELRA-S0320), Portuguese (Brazilian) (ELRA-S0201), Russian (ELRA-S0202), Spanish (Latin America) (ELRA-S0203), Swedish (ELRA-S0204), Tamil (ELRA-S0205), Thai (ELRA-S0321), Turkish (ELRA-S0206), Vietnamese (ELRA-S0322).
Data is shortened by means of the shorten program written by Tony Robinson, available from Softsound's web page: http://www.softsound.com/ linux distributions, or simulated versions such as cygwin. Alternatively, the data could be delivered unshorten.
The Croatian corpus was produced using the HRT and Obzor Nacional newspapers. It contains recordings of 94 speakers (38 males, 56 females) recorded in Zagreb, Croatia, and parts of Bosnia. The following age distribution has been obtained: 21 speakers are below 19, 30 speakers are between 20 and 29, 14 speakers are between 30 and 39, 15 speakers are between 40 and 49, and 13 speakers are over 50 (1 speaker age is unknown).