o Is this idea suitable for asr? 今 This is a good idea But in mfcc/Lpcc features components are not so separate from each other because each component contributes to the recognition of any unit a solution is to generalize the feature selection to feature weighting so that the difference of contribution of the feature component to different speech recognition unit is reflected .In Feature Weighting, the ws element value range [0, 1,instead of 10, 1) Center of speech Technology, Tsinghua University Slide 13Center of Speech Technology, Tsinghua University Slide 13 ❑ Is this idea suitable for ASR? ❖ This is a good idea. ❖ But in MFCC/LPCC features, components are not so separate from each other because each component contributes to the recognition of any unit. A solution is to generalize the feature selection to feature weighting, so that the difference of contribution of the feature component to different speech recognition unit is reflected. ❖ In “Feature Weighting”, the W’s element value range is [0,1], instead of {0, 1}