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Future Speech Interfaces with Sensors and Machine Intelligence.

Bruce Denby1, Tamás Gábor Csapó2, Michael Wand3,4

  • 1Institut Langevin, ESPCI Paris, PSL University, CNRS, Sorbonne Université, 75005 Paris, France.

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Summary
This summary is machine-generated.

This special issue explores advanced speech interfaces, incorporating sensors and machine intelligence. It addresses limitations of current speech technology, enhancing privacy, inclusivity, and performance in noisy environments.

Keywords:
lip readingmultimodal speechsilent speech interfacesspeech sensors

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Area of Science:

  • Human-Computer Interaction
  • Signal Processing
  • Artificial Intelligence

Background:

  • Speech is a natural communication method but faces challenges in human-computer interaction, including privacy concerns, inclusivity issues, and poor performance in noisy environments.
  • Current speech interfaces struggle with complex interactions and accessibility for all users.

Discussion:

  • This special issue presents eleven articles focusing on multimodal and silent speech interfaces, lip-reading applications, and novel sensor technologies.
  • It also covers tools for enhanced speech inclusivity in future interfaces.
  • The contributions aim to overcome the inherent limitations of traditional speech recognition systems.

Key Insights:

  • Multimodal and silent speech recognition offer enhanced privacy and robustness.
  • Novel sensors and machine intelligence are crucial for developing sophisticated and inclusive speech interfaces.
  • Lip-reading applications and inclusivity tools expand the utility of speech interfaces.

Outlook:

  • The success of the initial special issue has led to a follow-up,
  • Future Speech Interfaces with Sensors and Machine Intelligence-II,
  • indicating sustained interest and research momentum in this field.
  • Further advancements are expected in creating more natural, private, and universally accessible human-machine communication systems.