10. A speech recognition method carried out by a speech recognition apparatus, comprising steps of: classifying speaking sections included in speech data according to lengths of the speaking sections; classifying detailed data parts corresponding to predetermined parts in each of the classified speaking sections according to start time of the predetermined parts; learning acoustic models about a set of phonemes and language models about a chain probability of a word group consisting of the set of phonemes by using the classified detailed data parts specified both of the lengths of the speaking sections and the start time of the predetermined parts; and implementing a speech recognition process by using the learned acoustic models and language models.
10. A speech recognition method carried out by a speech recognition apparatus, comprising steps of: classifying speaking sections included in speech data according to lengths of the speaking sections; classifying detailed data parts corresponding to predetermined parts in each of the classified speaking sections according to start time of the predetermined parts; learning acoustic models about a set of phonemes and language models about a chain probability of a word group consisting of the set of phonemes by using the classified detailed data parts specified both of the lengths of the speaking sections and the start time of the predetermined parts; and implementing a speech recognition process by using the learned acoustic models and language models. 14. The speech recognition method according to claim 10 , wherein when learning acoustic models, the speech recognition apparatus recognizes a length of a speaking section in speech data having power more than a threshold, as the speaking length.