Cool, right? Profit: automatic creation of normal subtitles
Posted: Mon Jan 20, 2025 6:07 am
For videos and transcription of interviews. Neural networks translate text Well, yes, machine translation is no longer surprising. It appeared a long time ago. True, it still hasn’t managed to become adequate. But Google created a new NMTS algorithm based on neural networks and connected it to its Google Translate, So far, NMTS only works with two language pairs: English-Spanish and English-Chinese.
The results are not yet up to the level of professional human translators, spain email list but they are getting much closer. Profit: translation of foreign content, adequate communication with colleagues and clients from other countries. Neural networks talk In September, Google showed a new neural network, WaveNet , which models the human voice. It models it well. If it called me on the phone, I would not have guessed that it was not a person.
Listen to the examples on the site. WaveNet can speak English and Chinese, and can simulate different female and male voices. Profit: automation of call centers, voiceover for video clips. Neural networks evaluate images The MemNet algorithm , created at the MIT Computer Science and Artificial Intelligence Lab, determines the memorability index of images. In fact, the robot has learned to predict the work of human memory.
The results are not yet up to the level of professional human translators, spain email list but they are getting much closer. Profit: translation of foreign content, adequate communication with colleagues and clients from other countries. Neural networks talk In September, Google showed a new neural network, WaveNet , which models the human voice. It models it well. If it called me on the phone, I would not have guessed that it was not a person.
Listen to the examples on the site. WaveNet can speak English and Chinese, and can simulate different female and male voices. Profit: automation of call centers, voiceover for video clips. Neural networks evaluate images The MemNet algorithm , created at the MIT Computer Science and Artificial Intelligence Lab, determines the memorability index of images. In fact, the robot has learned to predict the work of human memory.