Ema-lon Manipuri Corpus (including word embedding and language model)    

ID: ELRA-W0316

ISLRN: 588-170-827-016-7

The Ema-lon Manipuri Corpus consists of a set of resources for Manipuri language (locally known as Meiteilon) for the purpose of machine translation. The main source for these resources is the Sangai Express news website. The resources that constitute the present corpus are listed below: 1. EM C...

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 Glissando-ca    

ID: ELRA-S0407

ISLRN: 780-617-066-913-1

Glissando-ca includes more than 12 hours of speech in Catalan, recorded under optimal acoustic conditions, orthographically transcribed, phonetically aligned and annotated with prosodic information (location of the stressed syllables and prosodic phrasing). The corpus was recorded by 8 profession...

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 Glissando-sp    

ID: ELRA-S0406

ISLRN: 024-286-962-247-6

Glissando-sp includes more than 12 hours of speech in Spanish, recorded under optimal acoustic conditions, orthographically transcribed, phonetically aligned and annotated with prosodic information (location of the stressed syllables and prosodic phrasing). The corpus was recorded by 8 profession...

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 How2Sign Dataset      

ID: ELRA-S0416

ISLRN: 583-408-694-292-6

The How2Sign dataset consists of a parallel corpus of speech and transcriptions of instructional videos and their corresponding American Sign Language (ASL) translation videos and annotations. It has been produced by recording 11 persons (6 males and 5 females) with various hearing status (5 self...

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 JV_TDM Corpus    

ID: ELRA-S0379

ISLRN: 371-240-320-910-4

The JV_TDM corpus provides a phonetic annotation of 37 chapters of the original French version of “Around the World in 80 Days” by Jules Verne read by a single speaker. Each chapter has been annotated in a separate .TextGrid file. The audio files are not included in this release. They are availab...

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 Persian Speech Corpus    

ID: ELRA-S0393

ISLRN: 068-845-898-304-0

This about 2.5-hour Single-Speaker Speech corpus has been developed using the same methodologies used in the PhD work carried out by Nawar Halabi at the University of Southampton. The corpus was recorded in Persian (Tehrani accent) by one male speaker using a professional studio, through a "Blubb...

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