IPL
Iterative Pseudo-Labeling
2000년 도입 · 논문 17편에서 사용
Iterative Pseudo-Labeling (IPL) is a semi-supervised algorithm for speech recognition which efficiently performs multiple iterations of pseudo-labeling on unlabeled data as the acoustic model evolves. In particular, IPL fine tunes an existing model at each iteration using both labeled data and a subset of unlabeled data.
출처: Iterative Pseudo-Labeling for Speech Recognition
소개 논문: Iterative Pseudo-Labeling for Speech Recognition
Speech Recognition · AudioSemi-Supervised Learning Methods · General