Unsupervised Speech Recognition
3 papers with code • 0 benchmarks • 0 datasets
These leaderboards are used to track progress in Unsupervised Speech Recognition
LibrariesUse these libraries to find Unsupervised Speech Recognition models and implementations
We also show that the discovered clusters can be made less speaker- and gender-specific by using an unsupervised autoencoder-like feature extractor to learn better frame-level features (prior to embedding).
Unsupervised speech recognition has shown great potential to make Automatic Speech Recognition (ASR) systems accessible to every language.