2 papers
cs.CL2020
Unigram-Normalized Perplexity as a Language Model Performance Measure with Different Vocabulary Sizes
Jihyeon Roh, Sang-Hoon Oh, Soo-Young Lee
Although Perplexity is a widely used performance metric for language models, the values are highly dependent upon the number of words in the corpus and is useful to compare perform…
cs.CL2018
Unpaired Speech Enhancement by Acoustic and Adversarial Supervision for Speech Recognition
Geonmin Kim, Hwaran Lee, Bo-Kyeong Kim +2
Many speech enhancement methods try to learn the relationship between noisy and clean speech, obtained using an acoustic room simulator. We point out several limitations of enhance…