1887
banner image
No data available.
Please log in to see this content.
You have no subscription access to this content.
No metrics data to plot.
The attempt to load metrics for this article has failed.
The attempt to plot a graph for these metrics has failed.
Statistical modeling of speech Poincaré sections in combination of frequency analysis to improve speech recognition performance
Rent:
Rent this article for
USD
10.1063/1.3463722
/content/aip/journal/chaos/20/3/10.1063/1.3463722
http://aip.metastore.ingenta.com/content/aip/journal/chaos/20/3/10.1063/1.3463722

Figures

Image of FIG. 1.
FIG. 1.

Signals, frequency spectrum, and reconstructed phase spaces for logistic map with .

Image of FIG. 2.
FIG. 2.

The overall structure of the proposed feature extraction method.

Image of FIG. 3.
FIG. 3.

Mutual information diagram across different time lags for /a/ phoneme (first minimum is 6).

Image of FIG. 4.
FIG. 4.

(a) The speech signal of a sample of /a/ phone. (b) The reconstructed phase space by and (c) its Poincaré section.

Image of FIG. 5.
FIG. 5.

Individual -ratio values for 30 different features (sorted by their pruning effects in -ratio values).

Tables

Generic image for table
Table I.

The labels assigned to the features stated in the 99-dimensional feature vector.

Generic image for table
Table II.

COR% for isolated phoneme recognition using different feature sets (GMM with four mixtures).

Generic image for table
Table III.

The CSR results for the clean speech signal using MFCC and the proposed features distinctively.

Generic image for table
Table IV.

CSR results in details for three different feature sets.

Generic image for table
Table V.

COR% for isolated phoneme recognition for different noisy conditions.

Loading

Article metrics loading...

/content/aip/journal/chaos/20/3/10.1063/1.3463722
2010-08-11
2014-04-24
Loading

Full text loading...

This is a required field
Please enter a valid email address
752b84549af89a08dbdd7fdb8b9568b5 journal.articlezxybnytfddd
Scitation: Statistical modeling of speech Poincaré sections in combination of frequency analysis to improve speech recognition performance
http://aip.metastore.ingenta.com/content/aip/journal/chaos/20/3/10.1063/1.3463722
10.1063/1.3463722
SEARCH_EXPAND_ITEM