Compact Representation of Speech Using 2-D Cepstrum – An Application to Slovak Digits Recognition

HMM speech recogniser with a small number of acoustic observations based on 2-D cepstrum (TDC) is proposed. TDC represents both static and dynamic features of speech implicitly in matrix form. It is shown that TDC analysis enables a compact representation of speech signals. Thus a great advantage of...

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Hauptverfasser:	Jarina, Roman, Kuba, Michal, Paralic, Martin
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Acoustic signal processing Acoustics Applied sciences Artificial intelligence Automatic Speech Recognition Compact Representation Computer science control theory systems Discrete Cosine Transform Exact sciences and technology Fundamental areas of phenomenology (including applications) Physics Speech and sound recognition and synthesis. Linguistics Speech Recognition Speech Signal
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