Voice recognition method and device based on waveform simulation

A speech recognition and waveform technology, applied in speech recognition, character and pattern recognition, speech analysis, etc., can solve the problems of reduced recognition accuracy and low recognition accuracy, and achieve improved accuracy, high recognition accuracy, and high accuracy. high effect

Inactive Publication Date: 2022-01-18
山东凤和凰城市科技有限公司
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] It realizes the recognition of Chinese characters through pinyin-based speech recognition, but this recognition method is only applicable to the recognition of Chinese characters. During the recognition process, the recognition accuracy is often reduced due to pronunciation problems
Because in the actual situation, the recognition accuracy will be reduced due to the difference in pitch, accent and language of each person.
Therefore, to solve the problem of low recognition accuracy caused by pronunciation, it is necessary to use a single waveform-based speech recognition technology that deviates from the tradition

Method used

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  • Voice recognition method and device based on waveform simulation
  • Voice recognition method and device based on waveform simulation
  • Voice recognition method and device based on waveform simulation

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Embodiment 1

[0034] like figure 1 Shown, the speech recognition method based on waveform simulation, described method carries out the following steps:

[0035] Step 1: collect the speech signal to be recognized, perform waveform envelope simulation on the speech signal to be recognized, and obtain the envelope simulation waveform of the speech signal to be recognized;

[0036] Step 2: Perform simplified waveform simulation on the envelope analog waveform to obtain a simplified analog waveform of the envelope analog waveform;

[0037] Step 3: Perform waveform gain on the simplified analog waveform to obtain the gain waveform, and then perform waveform decomposition on the gain waveform to obtain the harmonic component and the slope component after gain respectively;

[0038] Step 4: Carry out harmonic image recognition on the harmonic component to obtain the harmonic recognition result, which specifically includes: using a preset harmonic image recognition model to perform image recognitio...

Embodiment 2

[0048] On the basis of the previous embodiment, the step 1: collecting the speech signal to be recognized, performing waveform envelope simulation on the speech signal to be recognized, and obtaining the envelope simulation waveform of the speech signal to be recognized comprises: using a set of The unit impulse signal performs impulse operation on the speech signal to be recognized, converts the speech signal to be recognized into multiple signal amplitudes, and then extracts the maximum value of the signal amplitude at the same time point to form an envelope analog waveform.

[0049] Specifically, the spectrum envelope is a curve formed by connecting the highest amplitude points of different frequencies, which is called the spectrum envelope. Spectrum is a collection of many different frequencies, forming a wide range of frequencies, and different frequencies may have different amplitudes. There are also many methods for calculating the spectrum envelope, including the low-p...

Embodiment 3

[0053] On the basis of the previous embodiment, the step 1 also includes the step of modifying the formed envelope analog waveform, including: when the amplitude value of the envelope analog waveform is discontinuous, the signal envelope is corrected to the impulse signal Noise average value; specifically: set the number of judging whether the amplitude value is continuous to N, if the current amplitude value is A i , i means that the current amplitude value to be judged is the i-th impulse point, if the total number of unit impulse signals is M, then N≤i≤M-N, then the current amplitude value is considered continuous when the current amplitude value satisfies the following conditions: lg( 1-|c i -c i-j |)≤0.5(0≤j≤N) or lg(l+|c i -c i+j |)≤1.5(0≤j≤N); It can be seen from the formula that when there are N consecutive sampling points in the envelope analog waveform and the amplitude value difference is not greater than 1, the current signal is considered to be a pulse signal, ...

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Abstract

The invention relates to the technical field of voice recognition, in particular to a voice recognition method and device based on waveform simulation, and the method comprises the following steps: 1, collecting a to-be-recognized voice signal, and carrying out the waveform envelope simulation of the to-be-recognized voice signal, so as to obtain the envelope simulation waveform of the to-be-recognized voice signal; and 2, carrying out waveform simplification simulation on the envelope simulation waveform to obtain a simplified simulation waveform of the envelope simulation waveform . According to the method, waveform envelope simulation is carried out on a voice signal to obtain a simplified waveform of the voice signal, the simplified waveform is further simplified to obtain the most simplified waveform which is easier to recognize, and the simplified waveform is subjected to voice recognition through image matching recognition, so that the method is different from existing voice recognition, the recognition accuracy is higher, and meanwhile, the simplified waveform is used for recognition, so that the efficiency is improved and is equivalent to that of a conventional voice recognition method.

Description

technical field [0001] The invention belongs to the technical field of speech recognition, and in particular relates to a speech recognition method and device based on waveform simulation. Background technique [0002] Speech recognition is an interdisciplinary subject. In the past two decades, speech recognition technology has made remarkable progress and has begun to move from the laboratory to the market. It is expected that in the next 10 years, speech recognition technology will enter various fields such as industry, home appliances, communications, automotive electronics, medical care, home services, and consumer electronics. The application of speech recognition and dictation machines in some fields was rated as one of the ten major events in computer development in 1997 by the American press. Many experts believe that speech recognition technology is one of the ten most important technological developments in the field of information technology between 2000 and 201...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G10L15/26G06F16/48G06K9/62G10L15/10G10L15/24G06V10/74
CPCG10L15/24G10L15/26G10L15/10G06F16/48G06F18/22
Inventor 冯含哲孙利利曹克霞段琳钰
Owner 山东凤和凰城市科技有限公司
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