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Speech technology in the year 2001

S E Levinson1, F Fallside

  • 1AT&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
Summary
This summary is machine-generated.

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Future voice-controlled technology requires a new research approach. A cybernetic method using feedback control systems and reinforcement learning is proposed for advanced human-machine communication.

Area of Science:

  • Cognitive Science
  • Computer Science
  • Speech Technology

Background:

  • Technological forecasting for advanced applications faces significant challenges.
  • Current speech technology limitations stem from an incomplete scientific understanding of human cognition.
  • Existing human-machine communication systems are not sophisticated enough for future demands.

Purpose of the Study:

  • To outline a novel research direction for achieving advanced human-machine communication by voice.
  • To advocate for a fundamental research program distinct from conventional methods.
  • To address the limitations of current speech science and technology.

Main Methods:

  • Proposing a cybernetic approach to human-machine communication.
  • Utilizing feedback control systems for machine adaptation.

Related Experiment Videos

  • Employing reinforcement learning in linguistically rich environments.

    • Main Results:

    • The paper does not present empirical results but advocates for a research methodology.
    • The proposed cybernetic approach offers a pathway to overcome current technological hurdles.
    • This approach aims to enable machines to adapt and learn within complex linguistic contexts.

    Conclusions:

    • A fundamental shift in research methodology is necessary for future voice-controlled technology.
    • A cybernetic approach offers a promising direction for advancing human-machine communication.
    • Further research in speech science and cognitive understanding is crucial for realizing advanced applications.