The role of voice input for human-machine communication.

Philip R. Cohen, Sharon Oviatt

Proceedings of the National Academy of Sciences · 1995 · 209 citations · 5 references

Concepts

TL;DR

Rapid growth of voice‑based human‑computer interaction is anticipated, with prototypes demonstrating speaker‑independent real‑time speech recognition for vocabularies of 1,000–2,000 words and larger, manufacturers integrating speech subsystems, yet a substantial knowledge base on human spoken language and performance during computer‑based interaction remains required. This paper reviews application areas where spoken interaction can play a significant role, evaluates its benefits relative to other modalities, and argues for a systematic, scientific approach to building an empirical foundation for future spoken and multimodal interfaces. The authors assess application areas, compare voice to other modalities, and discuss the information needed to establish a firm empirical foundation for designing future spoken and multimodal interfaces.

Abstract

Optimism is growing that the near future will witness rapid growth in human-computer interaction using voice. System prototypes have recently been built that demonstrate speaker-independent real-time speech recognition, and understanding of naturally spoken utterances with vocabularies of 1000 to 2000 words, and larger. Already, computer manufacturers are building speech recognition subsystems into their new product lines. However, before this technology can be broadly useful, a substantial knowledge base is needed about human spoken language and performance during computer-based spoken interaction. This paper reviews application areas in which spoken interaction can play a significant role, assesses potential benefits of spoken interaction with machines, and compares voice with other modalities of human-computer interaction. It also discusses information that will be needed to build a firm empirical foundation for the design of future spoken and multimodal interfaces. Finally, it argues for a more systematic and scientific approach to investigating spoken input and performance with future language technology.

References

5