{"id":119911,"date":"2024-09-22T15:43:08","date_gmt":"2024-09-22T13:43:08","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/obnovlenie-golosovyh-dannyh-mozilla-common-voice-19-0"},"modified":"2024-09-22T15:43:08","modified_gmt":"2024-09-22T13:43:08","slug":"obnovlenie-golosovyh-dannyh-mozilla-common-voice-19-0","status":"publish","type":"post","link":"https:\/\/prohoster.info\/nl\/blog\/news\/obnovlenie-golosovyh-dannyh-mozilla-common-voice-19-0","title":{"rendered":"Update van spraakgegevens Mozilla Common Voice 19.0","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Mozilla heeft de spraakgegevenssets van Common Voice bijgewerkt, die voorbeelden van meer dan 200.000 mensen bevatten. De gegevens zijn gepubliceerd als publiek domein (CC0). De aangeboden sets kunnen worden gebruikt in machine learning-systemen voor het bouwen van spraakherkennings- en synthesemodellen. In vergelijking met de vorige update is de hoeveelheid spraakmateriaal in de collectie gestegen van 31,8 naar 32,6 duizend uur spraak, waarvan meer dan 20.000 uur zijn geverifieerd. Het aantal ondersteunde talen is gestegen van 129 naar 131. <\/p>\n

Bij de voorbereiding van de materialen in het Engels hebben 93.9 duizend mensen deelgenomen, die 3587 uur spraak hebben ingesproken (er waren 93.3 duizend deelnemers en 3554 uur). De verzameling voor de Witrussische taal omvat 8444 deelnemers en 1846 uur spraakmateriaal (er waren 8400 deelnemers en 1815 uur), voor de Russische taal 3296 deelnemers en 278 uur (er was 3241 deelnemer en 277 uur), voor het Oezbeekse 2200 deelnemers en 265 uur (er waren 2189 deelnemers en 265 uur), en voor de Oekra\u00efense taal 1104 deelnemers en 114 uur (er was 1091 deelnemer en 113 uur). <\/p>\n

Het Common Voice-project is gericht op het organiseren van samenwerking voor het opbouwen van een database van spraakpatronen die de diversiteit van stemmen en spreekstijlen weerspiegelt. Gebruikers wordt gevraagd om de op het scherm weergegeven zinnen in te spreken of de kwaliteit van gegevens die door andere gebruikers zijn toegevoegd te beoordelen. De opgebouwde database met opnames van verschillende uitspraken van typische menselijke spraakzinnen kan zonder beperkingen worden gebruikt in machine learning-systemen en onderzoeksprojecten.
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Bron: opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

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