6 citations · 6 across the 2 of their papers we have counts for
3 papers
cs.CL2019★ 6 cited
Lattice-Based Unsupervised Test-Time Adaptation of Neural Network Acoustic Models
Ondrej Klejch, Joachim Fainberg, Peter Bell +1
Acoustic model adaptation to unseen test recordings aims to reduce the mismatch between training and testing conditions. Most adaptation schemes for neural network models require t…
cs.CL2019
Lattice-based lightly-supervised acoustic model training
Joachim Fainberg, Ondřej Klejch, Steve Renals +1
In the broadcast domain there is an abundance of related text data and partial transcriptions, such as closed captions and subtitles. This text data can be used for lightly supervi…
cs.CL2017
WERd: Using Social Text Spelling Variants for Evaluating Dialectal Speech Recognition
Ahmed Ali, Preslav Nakov, Peter Bell +1
We study the problem of evaluating automatic speech recognition (ASR) systems that target dialectal speech input. A major challenge in this case is that the orthography of dialects…