Abstract
Speech translation is the translation of speech in one language typically to text in another, traditionally accomplished through a combination of automatic speech recognition and machine translation. Speech translation has attracted interest for many years, but the recent successful applications of deep learning to both individual tasks have enabled new opportunities through joint modeling, in what we today call 'end-to-end speech translation.' In this tutorial we will introduce the techniques used in cutting-edge research on speech translation. Starting from the traditional cascaded approach, we will given an overview on data sources and model architectures to achieve state-of-the art performance with end-to-end speech translation for both high- and low-resource languages. In addition, we will discuss methods to evaluate analyze the proposed solutions, as well as the challenges faced when applying speech translation models for real-world applications.
| Original language | English |
|---|---|
| Title of host publication | EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Tutorial Abstracts |
| Publisher | Association for Computational Linguistics (ACL) |
| Pages | 10-13 |
| Number of pages | 4 |
| ISBN (Electronic) | 9781954085039 |
| Publication status | Published - 1 Jan 2021 |
| Event | 16th Conference of the European Chapter of the Association for Computational Linguistics: Tutorials - Online, Unknown Duration: 19 Apr 2021 → 23 Apr 2021 Conference number: 16 https://2021.eacl.org/#:~:text=EACL%202021%20will%20be%20held,recreate%20a%20true%20conference%20experience. https://2021.eacl.org/#:~:text=Welcome%20to%20the%2016th%20conference,will%20be%20held%20entirely%20online. |
Conference
| Conference | 16th Conference of the European Chapter of the Association for Computational Linguistics: Tutorials |
|---|---|
| Abbreviated title | EACL 2021 |
| Country/Territory | Unknown |
| Period | 19/04/21 → 23/04/21 |
| Internet address |