ICA-Based Speech Features in the Frequency Domain

We apply the technique of independent component analysis to Fourier power coefficients of speech signal frames for a blind detection of basic vectors (sources). A subset of sources corresponding to the noisy influence of basic frequency is identified and its corresponding features could be eliminate...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Kasprzak, Włodzimierz, Okazaki, Adam F., Kowalski, Adam B.
Format:	Buchkapitel
Sprache:	eng
Schlagworte:	Applied sciences Artificial intelligence Automatic Speech Recognition Computer science control theory systems Exact sciences and technology Independent Component Analysis Information, signal and communications theory Signal processing Speaker Recognition Speech and sound recognition and synthesis. Linguistics Speech Recognition Speech Sample Telecommunications and information theory
Online-Zugang:	Volltext
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