@article{43909528,
	author  = {  EKŠTEIN, K.,  MOUČEK, R. Detection of relevant speech features using driven spectral analysis. In <i>Information Technologies & Control</i>. Prague: Academy of Sciences of the Czech Republic, 2003. s. 25-25. ISBN: 80-239-1333-6 
},
	title   = {Detection of relevant speech features using driven spectral analysis},
	journal = {Information Technologies & Control},
	year    = 2003,
	pages   = {25-25},
	note    = {The paper introduces a novel approach to the problem of speech signal analysis. Contemporary Automatic Speech Recognition systems do not involve an extensive intelligence into the task of deriving the feature vectors from frames of incoming speech. Although few ways to adopt the data to the needs of consecutive processing has been already propose, they are more or less static regarding the character of a speech signal. }}