Expanding the language coverage of speech technology has the potential t...
Current self-supervised learning algorithms are often modality-specific ...
Recent years have seen the emergence of decentralized wireless networks
...
While the general idea of self-supervised learning is identical across
m...
This paper presents XLS-R, a large-scale model for cross-lingual speech
...
When tuning the architecture and hyperparameters of large machine learni...
An effective recipe for building seq2seq, non-autoregressive, task-orien...
Semantic parsing using sequence-to-sequence models allows parsing of dee...
The increasing computational and memory complexities of deep neural netw...