Unsupervised Speech Recognition
3 papers with code • 0 benchmarks • 0 datasets
Benchmarks
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Libraries
Use these libraries to find Unsupervised Speech Recognition models and implementationsMost implemented papers
A segmental framework for fully-unsupervised large-vocabulary speech recognition
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
pytorch/fairseq
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NeurIPS 2021
Despite rapid progress in the recent past, current speech recognition systems still require labeled training data which limits this technology to a small fraction of the languages spoken around the globe.
Towards End-to-end Unsupervised Speech Recognition
pytorch/fairseq
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Unsupervised speech recognition has shown great potential to make Automatic Speech Recognition (ASR) systems accessible to every language.
