{"id":120482,"date":"2024-11-04T13:09:19","date_gmt":"2024-11-04T11:09:19","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/opublikovana-otkrytaya-ai-model-hertz-dev-dlya-polnodupleksnogo-golosovogo-obshheniya"},"modified":"2024-11-04T13:09:19","modified_gmt":"2024-11-04T11:09:19","slug":"opublikovana-otkrytaya-ai-model-hertz-dev-dlya-polnodupleksnogo-golosovogo-obshheniya","status":"publish","type":"post","link":"https:\/\/prohoster.info\/es\/blog\/news\/opublikovana-otkrytaya-ai-model-hertz-dev-dlya-polnodupleksnogo-golosovogo-obshheniya","title":{"rendered":"Se ha publicado el modelo AI abierto hertz-dev para comunicaci\u00f3n de voz a d\u00faplex completo","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

La empresa Standard Intelligence ha anunciado la publicaci\u00f3n de hertz-dev, el primer modelo de IA de c\u00f3digo abierto para la s\u00edntesis de voz en modo d\u00faplex completo, que puede usarse como base para la creaci\u00f3n de sistemas de comunicaci\u00f3n por voz en tiempo real o generaci\u00f3n de habla conversacional. El modelo permite generar voz cercana a los datos de voz en los que fue entrenado, proporcionando interacci\u00f3n al estilo de una comunicaci\u00f3n humana en vivo sin retrasos, que recuerdan a una conversaci\u00f3n telef\u00f3nica entrecortada. Los desarrollos del proyecto se distribuyen bajo la licencia Apache 2.0.

<\/center> <\/p>\n

En un sistema con GPU NVIDIA GeForce RTX 4090, la latencia media antes de la generaci\u00f3n es de 120 ms (te\u00f3ricamente hasta 65 ms), lo que es aproximadamente el doble de r\u00e1pido que los modelos existentes disponibles p\u00fablicamente. La versi\u00f3n publicada est\u00e1 construida utilizando la arquitectura \u00abtransformer\u00bb, abarca 8.5 mil millones de par\u00e1metros y fue entrenada con 500 mil millones de tokens. El tama\u00f1o del contexto considerado por el modelo (el n\u00famero de tokens que el modelo puede procesar y recordar durante la generaci\u00f3n del habla) es de 2048 tokens o aproximadamente 4 minutos de habla.
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Fuente: opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

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