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Research in speech communication

J Flanagan1

  • 1CAIP Center, Rutgers University, New Brunswick, NJ 08903, USA.

Proceedings of the National Academy of Sciences of the United States of America
|October 24, 1995
PubMed
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This summary is machine-generated.

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Advances in speech processing, including recognition, synthesis, and coding, are becoming affordable due to microelectronics. Research aims to unify these areas for better human-machine communication and applications like dictation and translation.

Area of Science:

  • Digital speech processing
  • Human-computer interaction
  • Speech technology

Background:

  • Digital speech processing technologies are advancing rapidly, enabling new human-machine communication applications and businesses.
  • Progress in microelectronics has made sophisticated speech processing and computing technology affordable.
  • Traditional research in speech processing focuses individually on recognition, synthesis, and coding.

Purpose of the Study:

  • To address the fundamental issue of representing and quantifying information in speech signals.
  • To advance speech recognition, synthesis, and coding by integrating research efforts.
  • To develop more accurate models of speech generation, computational language formulations, and perceptual guides.

Main Methods:

  • Investigating the physics of speech production.

Related Experiment Videos

  • Analyzing linguistic constraints on speech.
  • Modeling the auditory system's information processing.
  • Coalescing research in speech recognition, synthesis, and coding.

    • Main Results:

    • The research seeks to unify the traditionally isolated fields of speech recognition, synthesis, and coding.
    • Advancements are expected in creating accurate speech generation models and efficient language processing.
    • Development of realistic perceptual guides for speech processing is a key objective.

    Conclusions:

    • Integrating speech recognition, synthesis, and coding research is crucial for future advancements.
    • Successful solutions will lead to practical applications such as accurate dictation machines and high-quality text-to-speech synthesis.
    • Future developments include low bit-rate speech transmission and real-time language-translating telephony with voice preservation.