Speaker identification and its application in automobile industry for automatic seat adjustment

For fuel savings as well as energy and resource requirement, high strength low alloy steels (HSLA) are of particular interest to automobile industry because of the potential weight reduction which can be achieved by using thinner section of these steels to carry the same load and thus to improve the fuel mileage. Dual phase treatment has been utilized to obtain superior strength and ductility combinations compared to the HSLA of identical composition. Recently, cooling rate following heat treatment was found to be important to the tensile properties of the dual phase steels. In this paper, we report the results of the investigation of cooling rate on the microstructures and mechanical properties of several vanadium HSLA steels.The steels with composition (in weight percent) listed below were supplied by China Steel Corporation: 1. low V steel (0.11C, 0.65Si, 1.63Mn, 0.015P, 0.008S, 0.084Aℓ, 0.004V), 2. 0.059V steel (0.13C, 0.62S1, 1.59Mn, 0.012P, 0.008S, 0.065Aℓ, 0.059V), 3. 0.10V steel (0.11C, 0.58Si, 1.58Mn, 0.017P, 0.008S, 0.068Aℓ, 0.10V).

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Influence of the War on the Automobile Industry

Scientific American ◽

10.1038/scientificamerican09041915-206 ◽

1915 ◽

Vol 113 (10) ◽

pp. 206-208 ◽

Cited By ~ 1

Author(s):

H. W. Perry

Keyword(s):

Automobile Industry

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Method for measuring distortions of a speech signal during its transmission over a communication channel to a biometric identification system

Izmeritel`naya Tekhnika ◽

10.32446/0368-1025it.2020-11-65-72 ◽

2020 ◽

pp. 65-72

Author(s):

V. V. Savchenko ◽

A. V. Savchenko

Keyword(s):

Speech Signal ◽

Communication Channel ◽

Speaker Identification ◽

A Priori ◽

Small Samples ◽

Practical Implementation ◽

Identification System ◽

New Information ◽

Discrimination Criterion ◽

A Priori Uncertainty

This paper is devoted to the presence of distortions in a speech signal transmitted over a communication channel to a biometric system during voice-based remote identification. We propose to preliminary correct the frequency spectrum of the received signal based on the pre-distortion principle. Taking into account a priori uncertainty, a new information indicator of speech signal distortions and a method for measuring it in conditions of small samples of observations are proposed. An example of fast practical implementation of the method based on a parametric spectral analysis algorithm is considered. Experimental results of our approach are provided for three different versions of communication channel. It is shown that the usage of the proposed method makes it possible to transform the initially distorted speech signal into compliance on the registered voice template by using acceptable information discrimination criterion. It is demonstrated that our approach may be used in existing biometric systems and technologies of speaker identification.

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