Abstract: An apparatus for automatically generating punctuation marks in a continuous speech recognition system, comprises means (1,2,3,5) for recognizing user speech and converting the user speech into words, characterized in that means (1,2,3,5) for recognizing user speech is further used to recognize pseudo noises in the user speech; and the apparatus characterized by further comprising: means (9) for marking pseudo noises in output results of means (1,2,3,5) for recognizing user speech; means (10,14,13) for generating punctuation marks by finding most likely pseudo punctuation marks at locations of pseudo noises marked by the means (9) for marking pseudo noises based on a language model containing pseudo punctuation marks.

Abstract: An apparatus for automatically generating punctuation marks in a continuous speech recognition system, comprises means (1, 2, 3, 5) for recognizing user speech and converting the user speech into words, characterized in that means (1, 2, 3, 5) for recognizing user speech is further used to recognize pseudo noises in the user speech; and the apparatus characterized by further comprising: means (9) for marking pseudo noises in output results of means (1, 2, 3, 5) for recognizing user speech; means (10, 14, 13) for generating punctuation marks by finding most likely pseudo punctuation marks at locations of pseudo noises marked by the means (9) for marking pseudo noises based on a language model containing pseudo punctuation marks.

Abstract: An apparatus for automatically generating punctuation marks in a continuous speech recognition system, comprises means (1,2,3,5) for recognizing user speech and converting the user speech into words, characterized in that means (1,2,3,5) for recognizing user speech is further used to recognize pseudo noises in the user speech; and the apparatus characterized by further comprising: means (9) for marking pseudo noises in output results of means (1,2,3,5) for recognizing user speech; means (10,14,13) for generating punctuation marks by finding most likely pseudo punctuation marks at locations of pseudo noises marked by the means (9) for marking pseudo noises based on a language model containing pseudo punctuation marks.

Abstract: A Chinese speech recognition (SR) method and system for single or un-correlated Chinese character(s). The method uses various types of Character Description Language (CDL) to describe the single or un-correlated Chinese character(s) to be inputted. The SR system uses CDL grammar directed speech recognizer to accept CDLs, which are inputted by voice. On the basis of analysis of CDL parser, the character generator gives a corresponding character. Therefore, recognition of single or un-correlated Chinese character(s) out of context can be made reliably.