- LIVE
Web Conf • September 22nd, 2020 • 6:00 PM CET
A Glimpse at the Future of NLP
from Spoken Audio Translation
Recent advances in deep learning are giving the possibility to address traditional NLP tasks in a new and completely different manner. One of these tasks is spoken language translation, addressed for years by cascading automatic speech recognition and a machine translation system. New trends rely on using a single neural network to directly translate the input audio signal in one language into a text in a different language without intermediate transcription steps.
In this conference, researcher Marco Turchi will present his recent advancements in end-to-end speech translation and will analyze the benefit of directly accessing the audio in two different tasks: subtitle generation and mitigating the gender bias in spoken language translation. Then, we will have a look at some of the most advanced projects in NLP and will discuss its future with top experts.
