Adaptive template method for speech recognition
Yigang Liu, Y.-C. Lee, H.-H. Chen, Guo-Zheng Sun · 2003
An adaptive template method for pattern recognition is proposed. The template adaptation algorithm is derived based on minimizing the classification error of the classifier. The authors have applied this method to a multispeaker English E-set recognition experiment and achieved a 90.38% average recognition rate with only one template for each letter. This indicates that the derived templates are able to capture the speaker-invariant features of speech signals.>