Joint Speech Transcription and Translation: Pseudo-Labeling with Out-of-Distribution Data Apple Machine Learning Research
Self-training has been shown to be helpful in addressing data scarcity for many domains, including vision, speech, and language. Specifically, self-training, or pseudo-labeling, labels unsupervised data and adds that to the training pool. In this work, we investigate and use pseudo-labeling for a recently proposed… Read More »Joint Speech Transcription and Translation: Pseudo-Labeling with Out-of-Distribution Data Apple Machine Learning Research