{"id":103143,"date":"2022-01-31T09:36:50","date_gmt":"2022-01-31T07:36:50","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/obnovlenie-golosovyh-dannyh-mozilla-common-voice-8-0"},"modified":"2022-01-31T09:36:50","modified_gmt":"2022-01-31T07:36:50","slug":"obnovlenie-golosovyh-dannyh-mozilla-common-voice-8-0","status":"publish","type":"post","link":"https:\/\/prohoster.info\/et\/blog\/news\/obnovlenie-golosovyh-dannyh-mozilla-common-voice-8-0","title":{"rendered":"Mozilla Common Voice h\u00e4\u00e4lte andmete v\u00e4rskendus 8.0","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Mozilla esitles Common Voice h\u00e4\u00e4lteandmete kogumite uuendust, mis sisaldavad h\u00e4\u00e4ldusn\u00e4ite umbes 200 000 inimese poolt. Andmed on avaldatud avaliku omandina (CC0). Pakutavaid kogumeid saab kasutada masin\u00f5ppe s\u00fcsteemides k\u00f5ne tuvastamise ja s\u00fcnteesi mudelite arendamiseks. V\u00f5rreldes eelmise uuendusega on k\u00f5nematerjali hulk kollektsioonis suurenenud 30% \u2014 13,9 tunnilt 18,2 tunnile. Toetatud keelte arv on suurenenud 67-lt 87-le. <\/p>\n

Venekeelne kogum h\u00f5lmab 2452 osalejat ja 193 tunni k\u00f5nematerjali (oli 2136 osalejat ja 173 tundi), valgevenekeelne kogum \u2014 6160 osalejat ja 987 tundi (oli 3831 osalejat ja 356 tundi), ukrainakeelne kogum \u2014 684 osalejat ja 76 tundi (oli 615 osalejat ja 66 tundi). Ingliskeelsete materjalide ettevalmistamisel osales \u00fcle 79 000 inimese, kes dikteerisid 2886 tunni kinnitatud k\u00f5ne (oli 75 000 osalejat ja 2637 tundi). <\/p>\n

Tuletame meelde, et Common Voice projekt on suunatud koost\u00f6\u00f6rikkuse s\u00e4ilitamisele h\u00e4\u00e4lemehhanismide kogumisel, millel arvestatakse h\u00e4\u00e4le ja k\u00f5neviiside mitmekesisust. Kasutajatele pakutakse ekraanil kuvatud fraaside h\u00e4\u00e4ldamist v\u00f5i andmete kvaliteedi hindamist, mille on lisanud teised kasutajad. Kogunenud andmebaasi erinevate h\u00e4\u00e4ldustega inimk\u00f5ne fraaside salvestuste jaoks saab piiramatu arvu kasutada masin\u00f5ppe s\u00fcsteemides ja teadusprojektides. Vosk-resistentsuss\u00fcsteemi autor arvab, et Common Voice kogumi miinusteks on h\u00e4\u00e4lematerjali \u00fchek\u00fclgsus (enamik osalejatest on 20-30-aastased mehed ja naiste, laste ja vanemate inimeste h\u00e4\u00e4ltest on puudu), s\u00f5navara varieerimise puudumine (samade fraaside kordamine) ja salvestuste levimus moonutatud MP3 formaadis. <\/p>\n

Saab tuuakse v\u00e4lja NVIDIA NeMo 1.6 t\u00f6\u00f6riistakomplekt, mis pakub masin\u00f5ppe meetodeid k\u00f5nes\u00fcsteemide, k\u00f5nes\u00fcnteesi ja looduskeele t\u00f6\u00f6tlemise loomise jaoks. NeMo sisaldab valmis treenitud mudeleid masin\u00f5ppe s\u00fcsteemide jaoks PyTorchi raamistiku alusel, mis on ette valmistatud NVIDIA poolt, kasutades Common Voice k\u00f5nedata, mis katab erinevaid keeli, aktsente ja k\u00f5nevorme. Mudelid v\u00f5ivad olla kasulikud teadlastele, kes t\u00f6\u00f6tavad h\u00e4\u00e4ldusdialooge loovate s\u00fcsteemide, transkriptsiooniplatformide ja automatiseeritud k\u00f5nekeskuste kallal. N\u00e4iteks kasutatakse NVIDIA NeMo automatiseeritud h\u00e4\u00e4lteenustes MTS-is ja Sberbankis. NeMo kood on kirjutatud Pythonis, kasutades PyTorchi ja sellel on Apache 2.0 litsents.
\n
Allikas: opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

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