Prehistory — From Neural Networks to the TransformerGeoffrey Hinton, Li Deng, Dong Yu et al. (University of Toronto, Microsoft, Google, IBM)Geoffrey HintonUniversity of TorontoMicrosoftGoogleIBM
Deep Neural Networks for Acoustic Modeling in Speech Recognition
AIMade by AIWritten by AI (Claude) from the source below. Check anything important against the source.How it's made
Deep Neural Networks for Acoustic Modeling in Speech Recognition — a joint review by four research groups
Why it matters
Separate industry groups confirmed the same shift (HMM→DNN), and deep learning became the industry standard for speech recognition
Source — Primary sources first; secondary reports are labelled “Press”
Officialresearch.googlehttps://research.google/pubs/deep-neural-networks-for-acoustic-modeling-in-speech-recognition/Added in Week 35, 2026 · See that week
On the map — ⓪ Prehistory line
- Previous stopImageNet
- This recordDeep Neural Networks for Acoustic Modeling in Speech Recognition
- Next stopAlexNet