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The History of Speech Recognition to the Year 2030

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arxiv 2108.00084 v1 pith:OIOSVCAD submitted 2021-07-30 cs.CL cs.SDeess.AS

Awni Hannun This is my paper
classification cs.CLcs.SDeess.AS
keywords speechrecognitiondecadechangespeoplepreviousremarkablestate
verification ladder T0 review T1 audit T2 compute T3 formal
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The decade from 2010 to 2020 saw remarkable improvements in automatic speech recognition. Many people now use speech recognition on a daily basis, for example to perform voice search queries, send text messages, and interact with voice assistants like Amazon Alexa and Siri by Apple. Before 2010 most people rarely used speech recognition. Given the remarkable changes in the state of speech recognition over the previous decade, what can we expect over the coming decade? I attempt to forecast the state of speech recognition research and applications by the year 2030. While the changes to general speech recognition accuracy will not be as dramatic as in the previous decade, I suggest we have an exciting decade of progress in speech technology ahead of us.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Afrispeech Semantics: Evaluating Audio Semantic Reasoning in Spoken Language Models Across Domains and Accents

    cs.CL 2026-05 unverdicted novelty 4.0 of 10

    Audio language models are benchmarked on five semantic and paralinguistic reasoning tasks to reveal limitations in handling spoken audio evidence, accent variation, and domain shifts.

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