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Tony Robinson is a researcher in the application of recurrent neural networks to speech recognition,[1][2][3] being one of the first to discover the practical capabilities of deep neural networks and its application to speech recognition.[4]
- ^ Robinson, Tony; Fallside, Frank (July 1991). "A recurrent error propagation network speech recognition system". Computer Speech and Language. 5 (3): 259–274. doi:10.1016/0885-2308(91)90010-N.
- ^ Robinson, Tony (1996). "The Use of Recurrent Neural Networks in Continuous Speech Recognition". Automatic Speech and Speaker Recognition. The Kluwer International Series in Engineering and Computer Science. Vol. 355. pp. 233–258. CiteSeerX 10.1.1.364.7237. doi:10.1007/978-1-4613-1367-0_10. ISBN 978-1-4612-8590-8.
- ^ Wakefield, Jane (2008-03-14). "Speech recognition moves to text". BBC News. Retrieved 2020-08-24.
- ^ Robinson, Tony (September 1993). "A neural network based, speaker independent, large vocabulary, continuous speech recognition system: the WERNICKE project". Third European Conference on Speech Communication and Technology. 1: 1941–1944. Retrieved 17 May 2018.