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Abstract

A method for employing pitch in a speech recognition engine. The process begins by building training models of selected speech samples, a process which begins by analyzing each sample as a sequential series of frames, each frame having a selected duration and overlap with adjacent frames. A pitch estimate of each frame is detected and recorded, and the pitch data is normalized, and the speech recognition parameters of the model are determined, after which the model is stored. Models are stored and updated for each of the set of training samples. The system is then employed to recognizing the speech content of a subject, which begins by analyzing the subject as a sequential series of frames, each frame having a selected duration and overlap with adjacent frames. A pitch estimate for each frame is detected and recorded, and the pitch data is normalized. Speech recognition techniques are then employed to recognize the content of the subject, employing the stored models.

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First Claim