Although the project has lasted five years and the Â£6.2 million research project is still in its infancy, scientists from the University of Edinburgh, Cambridge and Cambridge University of the United Kingdom believe that this technology will bring many benefits.
Based on this technology, people will be able to improve the existing sound-activated computer equipment, and develop voice online search capabilities, and even develop voice-controlled automatic home appliances. The voice home appliance system will greatly improve the quality of life of the elderly who live alone.
Professor Steve Renals, from the University of Edinburgh School of Information, said: â€œThe technical goal we are developing is to be able to recognize and generate natural speech. This will open a new era in computer speech and make this technology Part of everyday life, in our home, work or leisure time."
This technology is expected to enable the device to recognize the voice of its owner and quickly become accustomed to its owners' common vocabulary, accent and mantra. Devices based on this technology can also distinguish between conversational sounds and background noises, and maintain focus on conversations in a noisy environment.
Dr. Thomas Hain, from the Department of Computer Science at the University of Shefford in the United Kingdom, said: â€œObviously, voice technology is rapidly becoming mainstream, but the key to the success of this technology is that it must have an anthropomorphic performance. Our work It is for many new users to choose voice technology and inspire the development process of new applications, so that voice technology is really widely used, from dental clinics to medical treatment to industrial production, and then to school and corporate boardrooms.â€
Prof. Phil Woodland, from the Department of Engineering at Cambridge University, said that the focus of natural speech technology should be to develop a system that can simulate human performance and behavior. He said that the R & D team is particularly interested in a point that is how to make computer equipment learn to understand and adapt to different specific users and environments.
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