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Voice Communication Between Humans and Machines (1994)
National Academy of Sciences (NAS)

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. "The Future of Voice-Processing Technology in the World of Computers and Communications." Voice Communication Between Humans and Machines. Washington, DC: The National Academies Press, 1994.

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The following HTML text is provided to enhance online readability. Many aspects of typography translate only awkwardly to HTML. Please use the page image as the authoritative form to ensure accuracy.


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FIGURE 4 Automatic interpretation system INTERTALKER.

translates into English, Japanese, French, and Spanish, as shown in Figure 4.

Automatic interpretation will help us realize the dream of human global communication that bridges the language gap. It is also an important goal for voice technology. Through the development of automatic interpreting telephony, we will be able to obtain and develop the technologies necessary for maintaining a C&C society.

In concluding, I want to reemphasize the importance of collaboration. It is the collaboration of interdisciplinary research areas: (1) collaboration between speech, language, and other disciplines and (2) collaboration between those involved in science and technology. It must also be an international collaboration.

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514
Front Matter (R1-R10)
Dedication (1-4)
Voice Communication Between Humans and Machines--An Introduction (5-12)
Scientific Bases of Human-Machine Communication by Voice (13-14)
Scientific Bases of Human-Machine Communication by Voice (15-33)
The Role of Voice in Human-Machine Communication (34-75)
Speech Communication -- An Overview (76-104)
Speech Synthesis Technology (105-106)
Computer Speech Synthesis: Its Status and Prospects (107-115)
Models of Speech Synthesis (116-134)
Linguistic Aspects of Speech Synthesis (135-156)
Speech Recognition Technology (157-158)
Speech Recognition Technology: A Critique (159-164)
State of the Art in Continuous Speech Recognition (165-198)
Training and Search Methods for Speech Recognition (199-214)
Natural Language Understanding Technology (215-216)
The Roles of Language Processing in a Spoken Language Interface (217-237)
Models of Natural Language Understanding (238-253)
Integration of Speech with Natural Language Understanding (254-272)
Applications of Voice-Processing Technology I (273-274)
A Perspective on Early Commercial Applications of Voice-Processing Technology for Telecommunications and Aids for the Handicapped (275-279)
Applications of Voice-Processing Technology in Telecommunications (280-310)
Speech Processing for Physical and Sensory Disabilities (311-344)
Applications of Voice-Processing Technology II (345-346)
Commercial Applications of Speech Interface Technology: An Industry at the Threshold (347-356)
Military and Government Applications of Human-Machine Communication by Voice (357-370)
Technology Deployment (371-372)
Deployment of Human-Machine Dialogue Systems (373-389)
What Does Voice-Processing Technology Support Today? (390-421)
User Interfaces for Voice Applications (422-442)
Technology in 2001 (443-444)
Speech Technology in the Year 2001 (445-449)
Toward the Ultimate Synthesis/Recognition System (450-466)
Speech Technology in 2001: New Research Directions (467-481)
New Trends in Natural Language Processing: Statistical Natural Language Processing (482-504)
The Future of Voice-Processing Technology in the World of Computers and Communications (505-514)
Author Biographies (515-524)
Index (525-548)