Speech Articulation DRT Recognition Based On Mel Frequency Cepstral Coefficient
Speech articulation plays an important role in speech recognition of communication terminals and equipment systems.In this paper,under the interference of 110 dB noise,the collected speech signal is de-noised by spectral subtraction,the pronunciation field is extracted by double-threshold endpoint detection,and then the Mel Frequency Cepstral Coefficients(MFCC)is extracted,and the difference calculation is carried out to obtain the first-order and second-order components,and the short-time energy is used as the characteristic parameter of the speech signal.Finally,Dynamic Time Warping(DTW)is used for similarity recognition.The experimental results show that the algorithm has a high recognition rate of 92.90％for Chinese articulation Di-agnostic Rhyme Test(DRT).
speech articulationspectral subtractionendpoint detectionMel Frequency Cepstral Coeffi-cientsDynamic Time WarpingDiagnostic Rhyme Test
NETL
NSTL
万方数据
