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    Language, speech & LLMs· 2020

    Conformer: Convolution-augmented Transformer for Speech Recognition

    Anmol Gulati (first author) · 2020

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    DOI 10.21437/interspeech.2020-3015arXiv 2005.08100OpenAlex W3097777922

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    Why it matters

    Combined convolutional locality with Transformer attention, becoming a standard speech encoder architecture.

    Condensed from the expert lists' notes.

    The record

    First released
    2020 (from arXiv 2005.08100)
    Citations
    4,410 citations, as counted by Papers With Code (CC BY-SA 4.0)
    Named by
    both expert lists
    Score
    0.433 · computed rank 316 · consensus 0.8, must-read 0, citations percentile 0.552 (2020s · language), awards 0, existing lists 0. Method

    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.