On low level cognitive components of speech

Ling Feng, Lars Kai Hansen

AbstractIn this paper we analyze speech for low-level cognitive features using linear component analysis. We demonstrate generalizable component ‘fingerprints’ stemming from both phonemes and speakers. Phonemes are fingerprints found at the basic analysis window time scale (20 msec), while speaker ‘voiceprints’ are found at time scales around 1000 msec. The analysis is based on homomorphic filtering features and energy based sparsification.
Keywordsindependent component analysis, speech, cognition
TypeConference paper [With referee]
ConferenceInternational Conference on Computational Intelligence for Modelling (CIMCA'05)
Year2005    Month November    Vol. 2    pp. 852-857
Electronic version(s)[pdf]
BibTeX data [bibtex]
IMM Group(s)Intelligent Signal Processing


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