| 摘要 |
In order to recognize a keyword in spoken speech, the keyword is subdivided, just like a test pattern to be recognized, into segments. The individual segments of the keyword and of the test pattern are mapped onto one another and a comparison measurement is made and is accumulated over the segments. The keyword is repeatedly stored in a training phase, a plurality of reference features respectively being determined for each segment of the keyword are stored. During recognition, a reference feature wich best fits the relevant segment of the test pattern is assigned in a segment-wise fashion. |
