Collecting and evaluating speech recognition corpora for 11 South African languages.
We describe the Lwazi corpus for automatic speech recognition (ASR), a new telephone speech corpus which contains data from the eleven official languages of South Africa. Because of practical constraints, the amount of speech per language is relatively small compared to major corpora in world langua...
| Publicado en: | Language Resources & Evaluation Vol. 45; no. 3; pp. 289 - 310 |
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| Autores principales: | , , , |
| Formato: | Artículo |
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Springer Nature
Aug2011
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=63899363&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 63899363 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 1574020X 179V jtl: Language Resources & Evaluation issn: 1574020X maglogo: N pubinfo: dt: Aug2011 vid: 45 iid: 3 pid: 237 pub: Springer Nature artinfo: ui: 63899363 10.1007/s10579-011-9152-1 ppf: 289 ppct: 21 formats: fmt: @attributes: type: P size: 811KB tig: atl: Collecting and evaluating speech recognition corpora for 11 South African languages. aug: au: Badenhorst, Jaco Heerden, Charl Davel, Marelie Barnard, Etienne affil: Human Language Technology Competency Area, CSIR Meraka Institute, Meiring Naude Road Pretoria South Africa Multilingual Speech Technologies, North-West University, Vanderbijlpark 1900 South Africa su: Speech perception Corpora African languages Language policy Phoneme (Linguistics) South Africa sug: subj: South Africa Speech perception Corpora African languages Language policy Phoneme (Linguistics) keyword: Lwazi corpus Resource-scarce languages South African languages Speech recognition ab: We describe the Lwazi corpus for automatic speech recognition (ASR), a new telephone speech corpus which contains data from the eleven official languages of South Africa. Because of practical constraints, the amount of speech per language is relatively small compared to major corpora in world languages, and we report on our investigation of the stability of the ASR models derived from the corpus. We also report on phoneme distance measures across languages, and describe initial phone recognisers that were developed using this data. We find that a surprisingly small number of speakers (fewer than 50) and around 10 to 20 h of speech per language are sufficient for the purposes of acceptable phone-based recognition. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Language Resources & Evaluation is a copyright of Springer, 2011. All Rights Reserved. item: Language Resources & Evaluation holder: Springer Nature dt: @attributes: year: 2011 holdings: @attributes: islocal: N |
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