Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups
At a glance
Reviewed how deep neural networks improved the recognition of speech from recorded audio.
In one paragraph
Brought together results from four research groups showing that deep neural networks could recognize speech more accurately than widely used statistical methods. It explained how these networks learn to connect short segments of recorded sound with speech sounds, helping establish deep learning in speech recognition.
Authors 11
- Geoffrey Hinton
- Li Deng
- Dong Yu
- George Dahl
- Abdel-rahman Mohamed
- Navdeep Jaitly
- Andrew Senior
- Vincent Vanhoucke
- Patrick Nguyen
- Tara Sainath
- Brian Kingsbury
