My research interests include speech recognition by humans and machines, audio-visual speech processing, machine listening and the application of machine learning to audio processing.
- CHiME 2018 workshop registration now open
- Call for Papers for CHiME 2018 workshop, Hyderabad, India, September 7th 2018.
- 5th CHiME challenge submission deadline August 3rd.
- Proceedings of the CHAT-2017 workshop on hearing assistive technology now available.
- Computer Speech and Language Special Issue on Multi-Microphone Speech Recognition in Everyday Environments out now.
- TAPAS: Training Network on Automatic Processing of PAthological Speech
- The CHiME challenges
- The Audio-Visual Lombard Grid corpus
- English and Spanish Consistent Confusion Corpora
- More research …
- Marxer, R., Barker, J., Alghamdi, N., & Maddock, S. (2018). The impact of the Lombard effect on audio and visual speech recognition systems. Speech Communication, 100, 58–68.
- Alghamdi, N., Maddock, S., Barker, J., & Brown, G. J. (2017). The impact of automatic exaggeration of the visual articulatory features of a talker on the intelligibility of spectrally distorted speech. Speech Communication. 10.1016/j.specom.2017.08.010
- Gonzalez, J. A., Gómez, A. M., Peinado, A. M., Ma, N., & Barker, J. (2017). Spectral Reconstruction and Noise Model Estimation Based on a Masking Model for Noise Robust Speech Recognition. Circuits, Systems, and Signal Processing, 36(9), 3731–3760. 10.1007/s00034-016-0480-7
- Barker, J., Marxer, R., Vincent, E., & Watanabe, S. (2017). The third ‘CHiME’ speech separation and recognition challenge: Analysis and outcomes. Computer Speech and Language, 46, 605–626. 10.1016/j.csl.2016.10.005
- Vincent, E., Watanabe, S., Nugraha, A. A., Barker, J., & Marxer, R. (2017). An analysis of environment, microphone and data simulation mismatches in robust speech recognition. Computer Speech and Language, 46, 535–557. 10.1016/j.csl.2016.11.005