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Speech technology in 2001: new research directions

B S Atal1

  • 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

Current speech recognition and synthesis technology is widely used but lacks flexibility for natural human-machine communication. Future research must address algorithm limitations and user constraints for broader applications.

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Area of Science:

  • Computer Science
  • Artificial Intelligence
  • Human-Computer Interaction

Background:

  • Decades of research have advanced speech recognition and synthesis for real-world applications.
  • Despite progress, current speech technology is perceived as inflexible for natural human-machine interaction.
  • Existing systems prioritize accuracy and robustness, often imposing constraints on users.

Purpose of the Study:

  • Critically evaluate current speech recognition and synthesis algorithms.
  • Identify technical challenges hindering further advancements in speech technology.
  • Explore new research directions for more flexible and user-friendly speech systems.

Main Methods:

  • Critical analysis of existing speech recognition algorithms.
  • Review of current speech synthesis techniques.
  • Examination of technical challenges and research gaps.

Main Results:

  • Current algorithms, while accurate, present limitations in user flexibility.
  • Technical challenges include robustness in diverse environments and natural interaction.
  • New research directions are needed to overcome these shortcomings.

Conclusions:

  • Speech technology requires enhanced flexibility beyond current accuracy and robustness.
  • Addressing user constraints is crucial for seamless voice communication with machines.
  • Future research must focus on innovative algorithms and approaches for wider application support.

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