UnsupervisedSpeechRecognition

Despite rapid progress in the recent past, current speech recognition systems still require labeled training data which limits this technology toasmall fraction of the languages spoken around the globe. This paper describes wav2vec-U, short for wav2vec Unsupervised, a method to train speech recognition models without any labeled data.