Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences

@article{Davis80, abstract = {Several parametric representations of the acoustic signal were compared with regard to word recognition performance in a syllable-oriented continuous speech recognition system. The vocabulary included many phonetically similar monosyllabic words, therefore the emphasis was on the ability to retain phonetically significant acoustic information in the face of syntactic and duration variations. For each parameter set (based on a mel-frequency cepstrum, a linear frequency cepstrum, a linear prediction cepstrum, a linear prediction spectrum, or a set of reflection coefficients), word templates were generated using an efficient dynamic warping method, and test data were time registered with the templates. A set of ten mel-frequency cepstrum coefficients computed every 6.4 ms resulted in the best performance, namely 96.5 percent and 95.0 percent recognition with each of two speakers. The superior performance of the mel-frequency cepstrum coefficients may be attributed to the fact that they better represent the perceptually relevant aspects of the short-term speech spectrum.}, author = {Davis, S. and Mermelstein, P. }, citeulike-article-id = {1273618}, journal = {Acoustics, Speech, and Signal Processing [see also IEEE Transactions on Signal Processing], IEEE Transactions on}, keywords = {acoustic\_features, comparison, frontend, mfcc, of}, number = {4}, pages = {357--366}, posted-at = {2007-05-03 12:30:36}, priority = {2}, title = {Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences}, url = {http://ieeexplore.ieee.org/xpls/abs\_all.jsp?arnumber=1163420}, volume = {28}, year = {1980} }

TY - JOUR ID - Davis80 L3 - citeulike-article-id:1273618 TI - Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences JF - Acoustics, Speech, and Signal Processing [see also IEEE Transactions on Signal Processing], IEEE Transactions on VL - 28 IS - 4 SP - 357 EP - 366 N2 - Several parametric representations of the acoustic signal were compared with regard to word recognition performance in a syllable-oriented continuous speech recognition system. The vocabulary included many phonetically similar monosyllabic words, therefore the emphasis was on the ability to retain phonetically significant acoustic information in the face of syntactic and duration variations. For each parameter set (based on a mel-frequency cepstrum, a linear frequency cepstrum, a linear prediction cepstrum, a linear prediction spectrum, or a set of reflection coefficients), word templates were generated using an efficient dynamic warping method, and test data were time registered with the templates. A set of ten mel-frequency cepstrum coefficients computed every 6.4 ms resulted in the best performance, namely 96.5 percent and 95.0 percent recognition with each of two speakers. The superior performance of the mel-frequency cepstrum coefficients may be attributed to the fact that they better represent the perceptually relevant aspects of the short-term speech spectrum. KW - acoustic_features KW - comparison KW - frontend KW - mfcc KW - of AU - Davis, S AU - Mermelstein, P PY - 1980/// UR - http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1163420 ER -