{"id":55656,"date":"2023-01-24T08:38:00","date_gmt":"2023-01-24T14:38:00","guid":{"rendered":"https:\/\/blogs.uninter.edu.mx\/ESCAT\/?p=55656"},"modified":"2023-01-13T12:18:48","modified_gmt":"2023-01-13T18:18:48","slug":"microsoft-crea-vall-e-una-ia-de-capaz-de-simular-cualquier-voz","status":"publish","type":"post","link":"https:\/\/blogs.uninter.edu.mx\/ESCAT\/index.php\/microsoft-crea-vall-e-una-ia-de-capaz-de-simular-cualquier-voz\/","title":{"rendered":"Microsoft crea VALL-E una IA de capaz de simular cualquier voz\u00a0#IMEUninter #UNINTER #IA"},"content":{"rendered":"
\n
\"Logo<\/a><\/figure>\n<\/div>\n\n\n

Microsoft ha revelado un nuevo modelo de inteligencia artificial capaz de simular la voz de una persona a partir de una muestra de audio.<\/p>\n\n\n\n\n\n\n\n

De acuerdo con la compa\u00f1\u00eda, este sistema es capaz de <\/strong>sintetizar el audio de una persona una vez que su voz es aprendida. Y lo m\u00e1s interesante es que tambi\u00e9n puede generar entonaciones para “preservar el tono emocional<\/em>” del hablante original.<\/p>\n\n\n\n

El equipo detr\u00e1s de VALL-E se\u00f1ala que esta IA se puede utilizar en aplicaciones donde se requiera generar voz en alta calidad a partir de texto, as\u00ed como en entornos donde se necesite “editar” la voz de una persona y cambiarse por una nueva transcripci\u00f3n de texto, haci\u00e9ndola decir algo que originalmente no se dijo, adem\u00e1s de que tambi\u00e9n tiene potencial en combinaci\u00f3n con otras IA, como GPT3 para la creaci\u00f3n de nuevo contenido de audio.<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

As\u00ed funciona VALL-E<\/h2>\n\n\n\n

Microsoft cataloga a VALL-E como un “modelo de lenguaje neuronal<\/em>“, basado en la tecnolog\u00eda EnCodec <\/strong>anunciada por Meta en 2022. <\/p>\n\n\n\n

En el caso de esta nueva IA, no sintetiza el habla manipulando las ondas de audio, sino que <\/strong>analiza c\u00f3mo suena cada persona, divide la informaci\u00f3n en componentes discretos denominados como “tokens” usando EnCodec y utiliza datos de su entrenamiento para comparar lo que “conoce” sobre c\u00f3mo sonar\u00eda esa voz si dijera otras frases fuera de la muestra de tres segundos.<\/p>\n\n\n\n

\"Microsoft\"<\/figure>\n\n\n\n

Para su entrenamiento, Microsoft utiliz\u00f3 la biblioteca de audio “LibriLight” de Meta. Que contiene unas 60,000 horas de habla en ingl\u00e9s de m\u00e1s de 7,000 personas distintas, extra\u00eddas en su mayor\u00eda de audiolibros de dominio p\u00fablico. Para que funcione adecuadamente se requiere que la muestra de tres segundos original <\/strong>coincida con una voz de las que tiene en sus datos <\/strong>de entrenamiento.<\/p>\n\n\n\n

Desde entonaciones hasta entornos simulados<\/h2>\n\n\n
\n
\"Microsoft\"<\/figure>\n<\/div>\n\n\n

El primer audio pertenece a la muestra dicha por el usuario, despu\u00e9s una “verdad b\u00e1sica”, que sirve para comparar otra frase del mismo hablante, despu\u00e9s una “l\u00ednea base” de c\u00f3mo ser\u00eda la conversi\u00f3n de texto a voz y luego el procesamiento de VALL-E.<\/p>\n\n\n\n

Fuente: XATAKA<\/a><\/h6>\n\n\n\n

Ingenier\u00eda en Mecatr\u00f3nica<\/a><\/p>\n\n\n\n

M\u00e1s noticias sobre Ingenier\u00eda en Mecatr\u00f3nica<\/a><\/p>\n\n\n\n

\"El<\/a><\/figure>\n\n\n\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

Microsoft ha revelado un nuevo modelo de inteligencia artificial capaz de simular la voz de una persona a partir de una muestra de 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