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Detail publikace
EKSLER, V.
Originální název
Evaluation of Blind Separated Signals Using Speech Recognition System
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
Output blind separated signals are recovered independent sources obtained from their mixtures using methods of convolutive independent component analysis. These methods have no information about the original sources and the mixing process. For the separation process we adapted and improved a method which is based on the natural gradient approach. The new concept proposed in this paper then tries to measure the hit rate of the source restoration by means of the discrete word intelligibility using an Internet speech recognition system. We are interested in a two-channel case, in which we observe the outputs of a 2 x 2 linear time invariant system of mixtures of speech, music and noise signals.
Klíčová slova
Convolutive ICA, independent component analysis, microphone array, learning algorithm, natural gradient, speech enhancement, speech recognition.
Autoři
Rok RIV
2005
Vydáno
21. 11. 2005
Nakladatel
EUROCON
Místo
Belgrade, Serbia and Montenegro
ISBN
1-4244-0050-3
Kniha
EUROCON 2005 - The International Conference on "Computer as a tool", R23 Signal Processing, IEEE Catalog Number: 05EX1255C
Strany od
1650
Strany do
1653
Strany počet
4
BibTex
@inproceedings{BUT15411, author="Václav {Eksler}", title="Evaluation of Blind Separated Signals Using Speech Recognition System", booktitle="EUROCON 2005 - The International Conference on {"}Computer as a tool{"}, R23 Signal Processing, IEEE Catalog Number: 05EX1255C", year="2005", pages="4", publisher="EUROCON", address="Belgrade, Serbia and Montenegro", isbn="1-4244-0050-3" }