Learning Robust and Multilingual Speech Representations

Understand

Unsupervised speech representation learning has shown remarkable success at finding representations that correlate with phonetic structures and improve downstream speech recognition performance.

• However, most research has been focused on evaluating the representations in terms of their ability to improve the performance of speech recognition systems on read English (e.g.
• Wall Street Journal and LibriSpeech).
• This evaluation methodology overlooks two important desiderata that speech representations should have: robustness to domain shifts and transferability to other languages.