slimIPL: Language-Model-Free Iterative Pseudo-Labeling

Tatiana Likhomanenko
Tatiana Likhomanenko
Jacob Kahn
Jacob Kahn
Gabriel Synnaeve
Gabriel Synnaeve
Cited by: 2|Views13

Abstract:

Recent results in end-to-end ASR have demonstrated the efficacy of simple pseudo-labeling for semi-supervised models trained both with Connectionist Temporal Classification (CTC) and Sequence-to-Sequence (seq2seq) losses. Iterative Pseudo-Labeling (IPL), which continuously trains a single model using pseudo-labels iteratively re-generat...More

Code:

Data:

Full Text
Bibtex
Your rating :
0

 

Tags
Comments