55 citations · 55 across the 3 of their papers we have counts for
3 papers
cs.CL2023
Lenient Evaluation of Japanese Speech Recognition: Modeling Naturally Occurring Spelling Inconsistency
Shigeki Karita, Richard Sproat, Haruko Ishikawa
Word error rate (WER) and character error rate (CER) are standard metrics in Speech Recognition (ASR), but one problem has always been alternative spellings: If one's system transc…
cs.CL2016★ 55 cited
RNN Approaches to Text Normalization: A Challenge
Richard Sproat, Navdeep Jaitly
This paper presents a challenge to the community: given a large corpus of written text aligned to its normalized spoken form, train an RNN to learn the correct normalization functi…
cs.CL2016
Minimally Supervised Written-to-Spoken Text Normalization
Ke Wu, Kyle Gorman, Richard Sproat
In speech-applications such as text-to-speech (TTS) or automatic speech recognition (ASR), \emph{text normalization} refers to the task of converting from a \emph{written} represen…