Title :
The modulation spectrum in the automatic recognition of speech
Author :
Hermansky, Hynek
Author_Institution :
Dept. of Electr. & Comput. Eng., Graduate Inst. of Sci. & Technol., Portland, OR, USA
Abstract :
The article questions the reliability of the short term spectral envelope as the dominant carrier of the phonetic identity of a given speech instant and suggests the temporal dynamics of components of the spectral envelopes as more reliable means for deriving the linguistic context of the speech message. It shows that analysis of the modulation spectrum offers a means for the systematic evaluation of medium term temporal dynamics of speech features. Such a medium term dynamic has been previously efficiently utilized in the computation of dynamic features and in RASTA processing. We aim for data driven analysis of the modulation spectrum and demonstrate the importance of syllabic rate modulation spectral components for speech communication
Keywords :
modulation spectra; speech processing; speech recognition; temporal logic; RASTA processing; automatic speech recognition; data driven analysis; linguistic context; medium term dynamic; medium term temporal dynamics; modulation spectrum; phonetic identity; short term spectral envelope; speech communication; speech features; speech instant; speech message; syllabic rate modulation spectral components; systematic evaluation; temporal dynamics; Additive noise; Auditory system; Automatic speech recognition; Frequency modulation; Humans; Spectral analysis; Speech analysis; Speech coding; Speech enhancement; Speech processing;
Conference_Titel :
Automatic Speech Recognition and Understanding, 1997. Proceedings., 1997 IEEE Workshop on
Conference_Location :
Santa Barbara, CA
Print_ISBN :
0-7803-3698-4
DOI :
10.1109/ASRU.1997.658998
