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Speech recognition technology: a critique

S E Levinson1

  • 1Linguistics Research Department, AT&T Bell Laboratories, Murray Hill, NJ 07974, USA.

Proceedings of the National Academy of Sciences of the United States of America
|October 24, 1995
PubMed
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Current speech recognition technology is significantly flawed, requiring a paradigm shift rather than incremental improvements. Further research emphasizes basic science over premature commercialization for true advancement in speech recognition.

Area of Science:

  • Computer Science
  • Artificial Intelligence
  • Human-Computer Interaction

Background:

  • Advanced speech recognition technology aims to bridge the gap between machine and human performance.
  • Existing systems are perceived by some to be nearing human-level accuracy, requiring only minor advancements.

Purpose of the Study:

  • To critically evaluate the current state of speech recognition technology.
  • To propose a new direction for achieving human-level performance in speech recognition.
  • To advocate for a shift in research focus towards fundamental breakthroughs.

Main Methods:

  • Comparative analysis of current speech recognition error rates against human performance benchmarks.
  • Theoretical argumentation for the necessity of a "revolution in thinking" rather than incremental progress.

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  • Policy recommendation for research funding allocation.

    • Main Results:

    • Current speech recognition performance is substantially distant from human capabilities.
    • Incremental improvements are insufficient to achieve human-level speech recognition.
    • A fundamental shift in approach is necessary for significant advancements.

    Conclusions:

    • The field of speech recognition requires a revolutionary, not evolutionary, approach.
    • Increased investment in basic research is crucial for overcoming current limitations.
    • Premature commercialization of underdeveloped technology hinders true progress.