Tomanek, Katrin

Automatic speech recognition of disordered speech: personalized models outperforming human listeners on short phrases

Green, J. R., MacDonald, R. L., Jiang, P.-P., Cattiau, J., Heywood, R., Cave, R., Seaver, K., Ladewig, M. A., Tobin, J., Brenner, M. P., et al. (2021) · Interspeech 2021

Speech Recognition and SynthesisVoice and Speech Disorders

Cited by 74

Disordered speech data collection: lessons learned at 1 million utterances from project euphonia

MacDonald, R. L., Jiang, P.-P., Cattiau, J., Heywood, R., Cave, R., Seaver, K., Ladewig, M. A., Tobin, J., Brenner, M. P., Nelson, P. C., et al. (2021) · Interspeech 2021

Speech Recognition and SynthesisVoice and Speech Disorders

Cited by 72

An intrinsic stopping criterion for committee-based active learning

Olsson, F., & Tomanek, K. (2009) · Proceedings of the Thirteenth Conference on Computational Natural Language Learning - CoNLL '09

Machine Learning and AlgorithmsNatural Language Processing Techniques

Cited by 37

On-device personalization of automatic speech recognition models for disordered speech

Tomanek, K., Beaufays, F., Cattiau, J., Chandorkar, A., & Sim, K. C. (2021) · arXiv

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 14

Context-Aware Abbreviation Expansion Using Large Language Models

Cai, S., Venugopalan, S., Tomanek, K., Narayanan, A., Morris, M. R., & Brenner, M. P. (2022) · arXiv

Assistive Technology in Communication and MobilitySpeech and dialogue systems

Cited by 4