Apparatus and method for automatically generating punctuation marks continuous speech recognition

An apparatus for automatically generating punctuation marks in a continuous speech recognition system, comprising means (1,2,3,5) for recognizing user speech and converting said user speech into words, characterized in that said means (1,2,3,5) for recognizing user speech further recognizes pseudo noises in said user speech; and said apparatus characterized by further comprising: means (9) for marking pseudo noises in output results of said 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 said means (9) for marking pseudo noises based on a language model containing pseudo punctuation marks.

An apparatus for automatically generating punctuation marks in a continuous speech recognition system, comprising means (1,2,3,5) for recognizing user speech and converting said user speech into words, characterized by further comprising: means for generating location indicating signals in response to operations of a user during dictation, said location indicating signals indicating locations in output results of said means (1,2,3,5) for recognizing user speech; means (10) for calculating probability for each pseudo punctuation mark in a language model containing pseudo punctuation marks that said pseudo punctuation mark would occur in said output results of said means for recognizing; means (13) for finding most likely pseudo punctuation marks at locations indicated by said location indicating signal based on said probabilities calculated, and generating punctuation marks corresponding to said most likely pseudo punctuation marks.

A method for automatically generating punctuation marks in a continuous speech recognition system, comprising a step of recognizing user speech and converting said user speech into words, characterized in that pseudo noises in said user speech are also recognized in said step of recognizing user speech; and said method characterized by further comprising steps of: marking pseudo noises in output results of said step of recognizing user speech; generating punctuation marks by finding most likely pseudo punctuation marks at locations of said pseudo noises marked in said step of marking pseudo noises, based on a language model containing pseudo punctuation marks.

A method for automatically generating punctuation marks in a continuous speech recognition system, comprising a step of recognizing user speech and converting said user speech into words, characterized by further comprising steps of: generating a location indicating signal in response to operations of a user during dictation, said location indicating signal indicating locations in output results of said step of recognizing user speech; calculating probability for each pseudo punctuation mark in a language model containing pseudo punctuation marks that said pseudo punctuation mark would occur in said output results of said step of recognizing user speech; finding most likely pseudo punctuation marks at locations indicated by said location indicating signal based on said probabilities calculated, and generating punctuation marks corresponding to said most likely pseudo punctuation marks.