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    Language, speech & LLMs· survey· 2012

    Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups

    Geoffrey Hinton (first author) · 2012

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    DOI 10.1109/msp.2012.2205597OpenAlex W2160815625

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    Why it matters

    Documented the breakthrough replacing GMM acoustic models with deep neural networks.

    Condensed from the expert lists' notes.

    The record

    First released
    2012 (from OpenAlex)
    Citations
    10,174 citations, as counted by OpenAlex (CC0)
    Named by
    both expert lists

    Editor's notes

    • Classed as survey: The authors present it as an overview of four groups' results, not a single new method; the underlying papers are the primary contributions. (AI draft (Claude), not yet reviewed, 2026-10-29)

    Data sources

    Catalogue data from OpenAlex (CC0), Crossref (CC0 metadata; no abstracts are shown), arXiv, and Papers With Code (CC BY-SA 4.0). Each count names its source. See the method.