A perspective on early commercial applications of voice-processing technology for telecommunications and aids for the handicapped.

The Colloquium on Human-Machine Communication by Voice highlighted the global technical community's focus on the problems and promise of voice-processing technology, particularly, speech recognition and speech synthesis. Clearly, there are many areas in both the research and development of these technologies that can be advanced significantly. However, it is also true that there are many applications of these technologies that are capable of commercialization now. Early successful commercialization of new technology is vital to ensure continuing interest in its development. This paper addresses efforts to commercialize speech technologies in two markets: telecommunications and aids for the handicapped.

The future of the national laboratories

The end of the Cold War has called into question the activities of the national laboratories and, more generally, the level of support now given to federal intramural research in the United States. This paper seeks to analyze the potential role of the laboratories, with particular attention to the possibility, on the one hand, of integrating private technology development into the laboratory’s menu of activities and, on the other hand, of outsourcing traditional mission activities. We review the economic efficiency arguments for intramural research and the political conditions that are likely to constrain the activities of the laboratories, and analyze the early history of programs intended to promote new technology via cooperative agreements between the laboratories and private industry. Our analysis suggests that the laboratories are likely to shrink considerably in size, and that the federal government faces a significant problem in deciding how to organize a downsizing of the federal research establishment.

Speech technology in 2001: new research directions.

Research in speech recognition and synthesis over the past several decades has brought speech technology to a point where it is being used in "real-world" applications. However, despite the progress, the perception remains that the current technology is not flexible enough to allow easy voice communication with machines. The focus of speech research is now on producing systems that are accurate and robust but that do not impose unnecessary constraints on the user. This chapter takes a critical look at the shortcomings of the current speech recognition and synthesis algorithms, discusses the technical challenges facing research, and examines the new directions that research in speech recognition and synthesis must take in order to form the basis of new solutions suitable for supporting a wide range of applications.