{"id":119595,"date":"2024-08-23T15:43:08","date_gmt":"2024-08-23T13:43:09","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/mozilla-razvivaet-instrumentarij-dlya-raspoznavaniya-rechi-whisperfile"},"modified":"2024-08-23T15:43:08","modified_gmt":"2024-08-23T13:43:09","slug":"mozilla-razvivaet-instrumentarij-dlya-raspoznavaniya-rechi-whisperfile","status":"publish","type":"post","link":"https:\/\/prohoster.info\/ro\/blog\/news\/mozilla-razvivaet-instrumentarij-dlya-raspoznavaniya-rechi-whisperfile","title":{"rendered":"Mozilla dezvolt\u0103 instrumentarul pentru recunoa\u0219terea vocal\u0103 Whisperfile","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Compania Mozilla dezvolt\u0103 instrumentul de recunoa\u0219tere a vocii Whisperfile, care include o implementare independent\u0103 \u0219i de \u00eenalt\u0103 performan\u021b\u0103 a modelului de \u00eenv\u0103\u021bare automat\u0103 Whisper, dezvoltat \u0219i deschis de organiza\u021bia OpenAI. Instrumentul este construit pe baza whisper.cpp, o implementare a modelului Whisper \u00een C\/C++, creat\u0103 de Georgi Gerganov (autorul llama.cpp). Codul este scris \u00een C++ \u0219i este distribuit sub licen\u021ba MIT. <\/p>\n

Whisperfile este dezvoltat de echipa Mozilla Ocho \u0219i completeaz\u0103 proiectul llamafile, destinat cre\u0103rii de fi\u0219iere executabile universale pentru rularea modelelor mari de limbaj de \u00eenv\u0103\u021bare automat\u0103 (LLM). La fel ca llamafile, proiectul whisperfile permite generarea unui fi\u0219ier executabil pe baza unui fi\u0219ier cu parametrii modelului de \u00eenv\u0103\u021bare automat\u0103 \u00een format GGUF, care poate fi rulat pe diferite sisteme de operare pe echipamente cu procesoare AMD64 \u0219i ARM64. Codul compilat poate fi legat de biblioteca standard C Cosmopolitan, permi\u021b\u00e2nd crearea de aplica\u021bii care ruleaz\u0103 pe Linux, FreeBSD, macOS, OpenBSD, NetBSD \u0219i Windows. <\/p>\n

Atunci c\u00e2nd fi\u0219ierul executabil este lansat, fi\u0219ierul cu sunetul vocii \u00een format wav, mp3, ogg sau flac este transmis ca parametru de intrare, iar textul recunoscut este salvat la ie\u0219ire. Practic, proiectul poate fi utilizat pentru a genera subtitr\u0103ri pentru videoclipuri, a crea un registru de apeluri vocale \u0219i video, a transforma materiale vocale \u00eenregistrate \u00een text, \u0219i a organiza introducerea vocal\u0103. Cu ajutorul Whisperfile, astfel de sarcini pot fi realizate pe un sistem local f\u0103r\u0103 a necesita servicii externe. <\/p>\n

De asemenea, este suportat\u0103 func\u021bionarea ca server HTTP, care proceseaz\u0103 solicit\u0103rile de recunoa\u0219tere a vocii prin Web API. Pentru a accelera lucrul cu modelul, pot fi utilizate GPU-uri \u0219i instruc\u021biuni AVX. Instrumentul poate, de asemenea, s\u0103 returneze coeficien\u021bi de \u00eencredere, permi\u021b\u00e2nd colorarea cuvintelor recunoscute \u00een func\u021bie de precizia determin\u0103rii acestora.

\"Mozilla<\/center> <\/p>\n

Modelul Whisper utilizat a fost instruit pe 680.000 de ore de date vocale, acoperind diferite domenii \u0219i limbi (2\/3 din date sunt \u00een limba englez\u0103). Modelul se descurc\u0103 bine cu recunoa\u0219terea vorbirii cu accent, identific\u0103 jargonul tehnic, suport\u0103 detectarea automat\u0103 a limbii \u0219i poate func\u021biona \u00een prezen\u021ba zgomotului de fundal. Pentru vorbirea \u00een limba englez\u0103, sistemul demonstreaz\u0103 un nivel de fiabilitate \u0219i precizie a recunoa\u0219terii automate similar cu cel al recunoa\u0219terii umane. Pe l\u00e2ng\u0103 transcrierea vorbirii \u00een text, modelul poate fi folosit \u0219i pentru traducerea vorbirii \u00een alte limbi.
\n
Sursa: opennet.ro<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

\u041a\u043e\u043c\u043f\u0430\u043d\u0438\u044f Mozilla \u0440\u0430\u0437\u0432\u0438\u0432\u0430\u0435\u0442 \u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u0439 \u0440\u0430\u0441\u043f\u043e\u0437\u043d\u0430\u0432\u0430\u043d\u0438\u044f \u0440\u0435\u0447\u0438 Whisperfile, \u0432\u043a\u043b\u044e\u0447\u0430\u044e\u0449\u0438\u0439 \u043d\u0435\u0437\u0430\u0432\u0438\u0441\u0438\u043c\u0443\u044e \u0432\u044b\u0441\u043e\u043a\u043e\u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c\u043d\u0443\u044e \u0440\u0435\u0430\u043b\u0438\u0437\u0430\u0446\u0438\u044e \u043c\u043e\u0434\u0435\u043b\u0438 \u043c\u0430\u0448\u0438\u043d\u043d\u043e\u0433\u043e \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f Whisper, \u0440\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u0430\u043d\u043d\u043e\u0439 \u0438 \u043e\u0442\u043a\u0440\u044b\u0442\u043e\u0439 \u043e\u0440\u0433\u0430\u043d\u0438\u0437\u0430\u0446\u0438\u0435\u0439 OpenAI. \u0418\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u0439 \u0441\u043e\u0437\u0434\u0430\u043d \u043d\u0430 \u043e\u0441\u043d\u043e\u0432\u0435 whisper.cpp, \u0440\u0435\u0430\u043b\u0438\u0437\u0430\u0446\u0438\u0438 \u043c\u043e\u0434\u0435\u043b\u0438 Whisper \u043d\u0430 C\/C++, \u0441\u043e\u0437\u0434\u0430\u043d\u043d\u043e\u0439 \u0413\u0435\u043e\u0440\u0433\u0438\u0435\u043c \u0413\u0435\u0440\u0433\u0430\u043d\u043e\u0432\u044b\u043c (\u0430\u0432\u0442\u043e\u0440 llama.cpp). \u041a\u043e\u0434 \u043d\u0430\u043f\u0438\u0441\u0430\u043d \u043d\u0430 \u044f\u0437\u044b\u043a\u0435 \u0421++ \u0438 \u0440\u0430\u0441\u043f\u0440\u043e\u0441\u0442\u0440\u0430\u043d\u044f\u0435\u0442\u0441\u044f \u043f\u043e\u0434 \u043b\u0438\u0446\u0435\u043d\u0437\u0438\u0435\u0439 MIT. Whisperfile \u0440\u0430\u0437\u0432\u0438\u0432\u0430\u0435\u0442\u0441\u044f \u043a\u043e\u043c\u0430\u043d\u0434\u043e\u0439 Mozilla Ocho \u0438 \u0434\u043e\u043f\u043e\u043b\u043d\u044f\u0435\u0442 \u0441\u043e\u0431\u043e\u0439 \u043f\u0440\u043e\u0435\u043a\u0442 llamafile, […]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":119596,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-119595","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\n","aioseo_head_json":{"title":"\ud83e\udd47Mozilla dezvolt\u0103 un set de instrumente pentru recunoa\u0219terea vorbirii Whisperfile | 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