activity
20002019
most citedDynamic Evaluation of Neural Sequence Models

60 citations · 93 across the 4 of their papers we have counts for

collaborators

9 papers

eess.AS201927 cited

Speaker-independent classification of phonetic segments from raw ultrasound in child speech

Manuel Sam Ribeiro, Aciel Eshky, Korin Richmond +1

Ultrasound tongue imaging (UTI) provides a convenient way to visualize the vocal tract during speech production. UTI is increasingly being used for speech therapy, making it import…

cs.CL20196 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.NE201760 cited

Dynamic Evaluation of Neural Sequence Models

Ben Krause, Emmanuel Kahembwe, Iain Murray +1

We present methodology for using dynamic evaluation to improve neural sequence models. Models are adapted to recent history via a gradient descent based mechanism, causing them to…

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…

cs.CL2017

Speech Recognition Challenge in the Wild: Arabic MGB-3

Ahmed Ali, Stephan Vogel, Steve Renals

This paper describes the Arabic MGB-3 Challenge - Arabic Speech Recognition in the Wild. Unlike last year's Arabic MGB-2 Challenge, for which the recognition task was based on more…