Using spatial correlation information in speech recognition
Peng Yu, Zuoying Wang · 2001
In Speech Recognition,features from different acoustic units are not independent.The correlation between different acoustic units is called Spatial Correlation.Spatial Correlation is important for acoustic model estimation.In the paper,we proposed a new method of using spatial information in speech recognition.We use linear equation to subscribe spatial correlation,calculate equation coefficients by K-L transformation,and develop a new training algorithm with the linear constraints.Experimental results show the new method brings significant improvement in error reduction.