@InProceedings{Höge2009_278,
author = {Harald Höge and Panji Setiawan},
booktitle = {Studientexte zur Sprachkommunikation: Elektronische Sprachsignalverarbeitung 2009},
title = {Evaluation of Information Contained in Spectral Features},
year = {2009},
editor = {Rüdiger Hoffmann},
month = mar,
pages = {115--122},
publisher = {TUDpress, Dresden},
abstract = {In this paper we estimate the information contained in features to recognize phones
represented by HMMs states. The features investigated are derivatives of MFCCs. The
information is defined as the ‘Phone Entropy’, which is Shannon’s conditional entropy
applied to phones. Related to the entropy are the bounds concerning the minimum phone error
rate, which are achieved by a recognizer based on the Bayes principle. We use the Fano and
Golić bounds as the lower and upper bounds, respectively. This paper is focused on
estimating the Phone Entropy and the underlying probability functions. An approach to
overcome the first order Markov model, as used in the state of the art HMM technology, is
investigated. Experimental results are presented using the AURORA framework, where we
determine the Phone Entropy and phone error rates for different noise levels. Phone error
rates are compared to the bounds given by Fano and Golić.},
isbn = {978-3-941298-31-6},
issn = {0940-6832},
keywords = {Signalverarbeitung},
url = {https://www.essv.de/pdf/2009_115_122.pdf},
}