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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