1. A method of evaluating a speech sample using a computer, the method comprising: receiving training data comprising samples of speech; storing the training data along with identification of speech elements to which portions of the training data are related; receiving a speech sample; performing speech recognition on the speech sample to produce recognition results; and evaluating the recognition results in view of the training data and the identification of the speech elements to which the portions of the training data are related, wherein: performing speech recognition on the speech sample comprises identifying portions of the speech sample to which different speech elements correspond; and evaluating the recognition results comprises comparing a portion of the speech sample identified as corresponding to a particular speech element to one or more portions of the training data identified as corresponding to the particular speech element.
1. A method of evaluating a speech sample using a computer, the method comprising: receiving training data comprising samples of speech; storing the training data along with identification of speech elements to which portions of the training data are related; receiving a speech sample; performing speech recognition on the speech sample to produce recognition results; and evaluating the recognition results in view of the training data and the identification of the speech elements to which the portions of the training data are related, wherein: performing speech recognition on the speech sample comprises identifying portions of the speech sample to which different speech elements correspond; and evaluating the recognition results comprises comparing a portion of the speech sample identified as corresponding to a particular speech element to one or more portions of the training data identified as corresponding to the particular speech element. 4. The method of claim 1, wherein comparing comprises directly comparing the portion of the speech sample to a particular speech sample from the training data.