Abstract
The article suggests the developed voice command recognition system based on steganographic-cepstral analysis and the computational algorithm of mel-frequency cepstral coefficients which is used for creation the basic voice command recognition system on the basis of which can be created more complex voice control solutions. To prove experimentally and substantiate the usefulness of using the developed voice command recognition system and the computational algorithm of mel-frequency cepstral coefficients. The detailed results of preliminary experimental studies of the developed voice command recognition system and the computational algorithm of mel-frequency cepstral coefficients in MATLAB in the case of the identification of control commands "up", "down", "right", "left" spoken by different subjects. The article presents the developed voice command recognition system based on steganographic-cepstral analysis which allows to increase the efficiency of voice command recognition. The conclusion based on the detailed results of preliminary experimental studies shows the usefulness of using the developed voice command recognition system and the computational algorithm of mel-frequency cepstral coefficients and thorough substantiation of the scientific-technical experimental study.
Highlights
In this paper, as proposed and described in detail an algorithm for calculation mel-frequency cepstral coefficients (MFCC), which is used to create a basic voice recognition system, on the basis of which can be built more complex solutions of voice control such as the system of voice radio control functions of Unmanned Aerial Vehicles (UAV) for qualitative decision of tasks in the military intelligence purposes, which is a new approach in this field of application [1].II
The following objectives need to be met in order to fulfill this goal: (a) To do research on the methods of detection individual features of speech signals MFCC, used in voice recognition systems. (b) To do research on the voice recognition system and algorithm for calculation of MFCC in the MATLAB as an example of identification of different subjects spoken commands: “Up”, “Down”, “Right”, “Left”. (c) To carry out a comparative assessment of the calculated values from the selected minimum distance criterion, which is the main indicator of the quality of voice recognition test. (d) To do research on the voice command recognition system based on steganographic-cepstral analysis in software package MATLAB
This paper introduces voice command recognition system based on steganographic-cepstral analysis, which allows to increase the efficiency of voice recognition
Summary
As proposed and described in detail an algorithm for calculation mel-frequency cepstral coefficients (MFCC), which is used to create a basic voice recognition system, on the basis of which can be built more complex solutions of voice control such as the system of voice radio control functions of Unmanned Aerial Vehicles (UAV) for qualitative decision of tasks in the military intelligence purposes, which is a new approach in this field of application [1].II. The main goal of this article is to design the voice command recognition new system based on steganographic-cepstral analysis for controlling the UAV with its subsequent optimization. The following objectives need to be met in order to fulfill this goal: (a) To do research on the methods of detection individual features of speech signals MFCC, used in voice recognition systems. (b) To do research on the voice recognition system and algorithm for calculation of MFCC in the MATLAB as an example of identification of different subjects spoken commands: “Up”, “Down”, “Right”, “Left”. (d) To do research on the voice command recognition system based on steganographic-cepstral analysis in software package MATLAB. VOICE CONTROL COMMAND RECOGNITION SYSTEM OF UAV BASED ON CEPSTRAL ANALYSIS
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