Method and system for detecting abnormal use of voice input equipment

A technology of voice input and detection methods, applied in voice analysis, instruments, etc., can solve the problems of low signal-to-noise ratio, annihilation of target voice, and inability to reflect the abnormal voice acceptability of using equipment.

Active Publication Date: 2012-01-18
INST OF AUTOMATION CHINESE ACAD OF SCI
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Problems solved by technology

[0005] 2) The signal-to-noise ratio is too low: During the oral automatic test, due to the physical material and shape of the classroom room, the distance between the microphones violates the requirements, etc., the voices of the surrounding speakers obliterate the target voice, resulting in a low input signal-to-noise ratio;
[0008] Although objective evaluation has the advantages of saving time and effort, it still cannot reflect the ability of the mach

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  • Method and system for detecting abnormal use of voice input equipment
  • Method and system for detecting abnormal use of voice input equipment
  • Method and system for detecting abnormal use of voice input equipment

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[0025] Various details involved in the technical solution of the present invention will be described in detail below in conjunction with the accompanying drawings. It should be pointed out that the described embodiments are only intended to facilitate the understanding of the present invention, rather than limiting it in any way.

[0026] The method of the present invention mainly includes two parts: an audio classification method and a speech quality evaluation method. Wherein, the audio classification method can be implemented independently, while the speech quality evaluation method must be executed on the basis of the audio classification method. Before using the present invention, hardware conditions need to be restricted to ensure that the present invention can be implemented smoothly:

[0027]1. The microphone device must maintain a normal state in terms of hardware and voice output, without device noise, saturated noise, device mute, motor sound, etc. caused by microp...

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Abstract

The invention discloses a method and system for detecting abnormal use of voice input equipment. A characteristic extracting mode which is more comprehensive to remote voice signal characteristics and closer to human perception is adopted in the invention so as to roughly judge background voice, normal voice and remote voice. On the basis of classification of audio signals, by adopting the combined method of a modern signal processing technology and a statistical machine learning theory, the problem of multiple limits on front-end voice input by a traditional method is overcome so that signal-level quality scoring is closer to human scoring. According to the invention, the difference problem of front-end input voice quality due to artificial use errors of the equipment in large-scale tests of spoken language is solved.

Description

technical field [0001] The invention relates to the technical field of voice signal processing in the electronic information industry, in particular to a method and system for detecting abnormal use of voice input equipment. Background technique [0002] Voice is an important carrier of information transmission, and its related communication, coding, storage and processing systems have become a necessary means of information exchange in modern society, and have been widely used in various fields of society. Especially in the automatic computer speaking test, the judgment of the quality of the front-end input voice becomes the key to the estimation of the speaking level of the back-end learners. The voice quality of front-end input is usually irrelevant to the level of oral learners. This requires the system to be designed to maintain the same standard and quality as much as possible so that learners can take the exam fairly and impartially. In order to achieve this goal, o...

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Application Information

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IPC IPC(8): G10L11/00G10L19/00G10L25/60
Inventor 徐波黄申王士进李宏言陈振标柯登峰高鹏李鹏
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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