Renals, Steve

Learning hidden unit contributions for unsupervised speaker adaptation of neural network acoustic models

Swietojanski, P., & Renals, S. (2014) · 2014 IEEE Spoken Language Technology Workshop (SLT)

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 218

Learning Hidden Unit Contributions for Unsupervised Acoustic Model Adaptation

Swietojanski, P., Li, J., & Renals, S. (2016) · IEEE/ACM Transactions on Audio, Speech, and Language Processing

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 133

Dynamic Evaluation of Neural Sequence Models

Krause, B., Kahembwe, E., Murray, I., & Renals, S. (2017) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 90

Longitudinal study of ASR performance on ageing voices

Vipperla, R., Renals, S., & Frankel, J. (2008) · Interspeech 2008

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 75

Speech Input from Older Users in Smart Environments: Challenges and Perspectives

Vipperla, R., Wolters, M., Georgila, K., & Renals, S. (2009) · Lecture Notes in Computer Science

Speech Recognition and SynthesisSpeech and dialogue systems

Cited by 37

Dynamic Evaluation of Transformer Language Models

Krause, B., Kahembwe, E., Murray, I., & Renals, S. (2019) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 30

Exploiting ultrasound tongue imaging for the automatic detection of speech articulation errors

Ribeiro, M. S., Cleland, J., Eshky, A., Richmond, K., & Renals, S. (2021) · Speech Communication

Voice and Speech DisordersPhonetics and Phonology Research

Cited by 27