The different layers of neural networks, replicating the human brain, were able to link the corresponding parts and subsequently manipulate the audio waveform until it was transformed to English text.[24] Another drawback of the GNMT model is that it causes the time of translation to increase exponentially with the number of words in the sentence.[3] This caused the Google Brain Team to add 2000 more processors to ensure the new translation process would still be fast and reliable.[4]