Where Does Speech Technology Fit in Human-Computer Interaction?

ing topic words changed in sentence. We can also improve the correct recognition rate by catching the outline of analyzed sentence effectively and utilizing natural language post-processing. The speech interaction should have the natural language statement generation mechanism with the ability of language understanding. Making use of speech synthesis, it can help users get through tough time and learn language well via web-based language learning. Owing to some factors such as culture and language level of users, the oral speech adaptation of non-native language is the first problem that should be solved in the acoustics layer of man-machine information interaction. It is very useful for correcting users’ pronunciation that today’s speech processing technology can easily find those words or phrases pronounced incorrectly. The man-machine speech interaction is an indispensable part in a web-based language learning system. 3.4.4.2 Human-Computer Interaction with Multimedia (During the course of human-computer Interaction, if you don’t face the simplex text but a human visualization who can talk to you, you will feel the computer interface is more friendly and it is more convenient when you communicate with the computer. From people’s apperception and perceiving model, the research of the theories, methods and realizations for the intellectual human-computer interaction (include character, voice, face expression, gesture and other functions) is based on the difference of culture and psychology between Chinese people and American people). At present time, it is easy to animate a face to express the human’s averseness, anger, sadness, fearless, astonishment and happiness. It initially recognizes and then comprehends the user’s simple voice, expression and gestures. What’s more it can make imitation. It is the Object-Oriented pattern recognition that takes full advantage of multi-information handling ability and character to form an integration of Automatic speech recognition, Comprehension and Speech synthesis, Image analysis and Computer visualization, Diagram Comprehension, or even Recognized word and Page Comprehension. With the attempt to form the text-to-visual speech conversion from voice, text and image, it would make the human-computer interaction more hail-fellow and harmonious through making people see a human’s face when they are talking with computer. Visual speech can transmit the meaning people expressed at a certain extent and help people grasp this language. According to the research, as the voice information is given under a noisy environment or the listener has a lack of listening, a ‘talking head’ would be a great assistant for people to understand the voice. In the future, the Web-based language educational system will be a multimedia system made up of language recognition, speech recognition for multi-language, OCR, handwriting recognition and keyboard which act as the input system. On the other hand, we have high natural multi-language speech synthesis or texts as output system. Comminuting easily with people through the Internet, users would be more effective for the development of human beings and society. 3.4.6 The directly conversion of paragraph written-spoken, spoken-written Natural Language is ever changing, when people carry on the exchange with the natural spoken