Audio signal noise reduction processing system

Abstract

The invention relates to the field of audio processing, in particular to an audio signal noise reduction processing system which comprises a sound wave recording module, an intelligent analysis module, a sound wave processing module, a sound filtering module, an engine noise reduction module and an integrated output module. The sound wave recording module, the intelligent analysis module, the sound wave processing module, the sound filtering module, the engine noise reduction module and the integrated output module are mutually connected in series, so that gradual use is facilitated, and the intelligent analysis module comprises a sound wave automatic identification and classification module; the sound wave automatic identification and classification module arranged in the intelligent analysis module can quickly distinguish unwanted sound and needed sound in the audio signal, and can quickly remove sound waves with different frequencies in cooperation with the sound wave processing module and the frequency analysis module, so that the overall noise reduction efficiency can be improved; and meanwhile, the integrated engine noise reduction module is matched to further carry out detailed noise reduction on the audio signals, so that the overall noise reduction efficiency is improved, and the use is convenient.

Description

Technical Field

[0001] This invention relates to the field of audio processing technology, specifically to an audio signal noise reduction processing system. Background Technology

[0002] Audio signals are carriers of information about the frequency and amplitude variations of sound waves, which contain speech, music, and sound effects. Based on the characteristics of sound waves, audio information can be classified into regular audio and irregular sound. Regular audio can be further divided into speech, music, and sound effects. Regular audio is a continuously changing analog signal, which can be represented by a continuous curve called a sound wave. The three elements of sound are pitch, intensity, and timbre. Sound waves or sine waves have three important parameters: frequency ω0, amplitude An, and phase ψn, which determine the characteristics of audio signals.

[0003] Currently, audio recordings often contain other sounds, resulting in significant noise during use. Therefore, noise reduction processing is necessary after recording. Current audio noise reduction methods typically use a single filter to filter the entire audio signal, reducing overall noise. This is often combined with external noise reduction devices, increasing the overall noise reduction time. This approach cannot provide a unified noise reduction solution and tends to overlook subtle noise details during the process, requiring post-processing and modification. Therefore, its use is limited. Summary of the Invention

[0004] To address the problems in the prior art, the present invention provides an audio signal noise reduction processing system.

[0005] The technical solution adopted by the present invention to solve its technical problem is: an audio signal noise reduction processing system, including a sound wave recording module, an intelligent analysis module, a sound wave processing module, a sound filtering module, an engine noise reduction module, and an integrated output module, wherein the sound wave recording module, the intelligent analysis module, the sound wave processing module, the sound filtering module, the engine noise reduction module, and the integrated output module are interconnected to facilitate gradual use.

[0006] The intelligent analysis module includes an automatic sound wave identification and classification module, which is equipped with demand sound waves and external sound waves, and can effectively classify and classify the demand sound waves required within the audio and other external sound waves.

[0007] The sound wave processing module includes a frequency analysis module, which is equipped with high-frequency sound waves, low-frequency sound waves and normal sound waves. The frequency analysis module can eliminate high-frequency and low-frequency sound waves other than normal sound waves through high-frequency sound waves, low-frequency sound waves and normal sound waves, thereby achieving the effect of noise reduction.

[0008] The sound filtering module has a built-in filter, which further filters and reduces noise in the audio processed by the sound wave processing module.

[0009] The engine noise reduction module includes a noise reduction algorithm, a noise reduction level, and a noise reduction selection, and the noise reduction algorithm, noise reduction level, and noise reduction selection are all equipped with a parameter adjustment module.

[0010] The noise reduction algorithm, noise reduction level, and noise reduction selection allow users to choose the engine noise reduction algorithm, adjust the noise reduction level, and select the noise reduction region when performing audio noise reduction, thereby increasing the overall noise reduction efficiency. The parameter adjustment module allows users to modify parameters during audio playback later to further modify and remove minor noise, thus enhancing the noise reduction effect.

[0011] The integrated output module facilitates the recording of new audio after overall audio noise reduction, enabling rapid output for subsequent use.

[0012] A method of using an audio signal noise reduction processing system includes the following steps: Step 1: First, the sound wave recording module records and collects external sounds, thus quickly recording them. At the same time, the system transmits the recorded sounds to the intelligent analysis module through the sound wave recording mode. The sound wave automatic recognition and classification module in the intelligent analysis module will automatically analyze and identify the recorded audio. Meanwhile, the demand sound wave module and the external sound wave module inside the sound wave automatic recognition and classification module will classify the desired sound waves and unwanted sound waves in the audio. Then, the desired audio is saved through the demand sound wave module. Step 2: Simultaneously, the sound wave processing module will work with the intelligent analysis module to analyze and process the audio stored in the sound wave module. It will also work with the frequency analysis module to distinguish between high-frequency sound waves, low-frequency sound waves, and normal sound waves. Apart from normal sound waves, high-frequency sound waves and low-frequency sound waves are considered noise. At this time, the high-frequency sound wave module and low-frequency sound wave module inside the frequency analysis module will remove the high-frequency sound waves and low-frequency sound waves, thereby performing initial noise reduction on the audio. At the same time, the filter in the sound filtering module will further filter the audio inside the normal sound wave module, further reducing the overall noise. Step 3: Simultaneously, through the noise reduction algorithm in the engine noise reduction module, you can independently select the engine noise reduction algorithm to perform overall noise reduction on the audio. At the same time, you can adjust the noise reduction level to reduce the level of noise in the audio. You can make flexible choices, and you can effectively select any position in the audio for noise reduction through noise reduction selection, which is convenient for overall noise reduction and increases the overall noise reduction efficiency. Step 4: After overall noise reduction through the engine noise reduction module, the noise-reduced audio is played through the parameter adjustment diaphragm. The internal parameters are then adjusted in real time according to the audio, which can effectively modify the parameters of individual segments to enhance the noise reduction effect. At the same time, the noise-reduced audio can be quickly collected and integrated through the integrated output module and then input for use.

[0013] The beneficial effects of this invention are: The audio signal noise reduction system described in this invention can quickly distinguish between unwanted and desired sounds in an audio signal by setting an automatic sound wave identification and classification module in the intelligent analysis module. At the same time, it can quickly remove sound waves of different frequencies by working with the sound wave processing module and the frequency analysis module, thereby increasing the overall noise reduction efficiency. Furthermore, it can further perform detailed noise reduction on the audio signal by working with the integrated engine noise reduction module, thereby increasing the overall noise reduction efficiency and making it easy to use. Attached Figure Description

[0014] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0015] Figure 1 This invention provides a schematic diagram of the overall process structure of an audio signal noise reduction processing system. Figure 2 This is a schematic diagram of the intelligent analysis module in the clamping mechanism of an audio signal noise reduction processing system provided by the present invention; Figure 3 This invention provides a schematic diagram of the acoustic wave processing module in the drive mechanism of an audio signal noise reduction processing system. Figure 4 This is a schematic diagram of the engine noise reduction module in the rotating mechanism of an audio signal noise reduction processing system provided by the present invention. Detailed Implementation

[0016] To make the technical means, creative features, objectives and effects of this invention easier to understand, the invention will be further described below in conjunction with specific embodiments.

[0017] like Figures 1-4As shown, the audio signal noise reduction processing system of the present invention includes a sound wave recording module, an intelligent analysis module, a sound wave processing module, a sound filtering module, an engine noise reduction module, and an integrated output module. These modules are interconnected for easy and gradual deployment. The intelligent analysis module includes an automatic sound wave identification and classification module, which internally classifies required sound waves and external sound waves, effectively categorizing them. The sound wave processing module includes a frequency analysis module, which internally classifies high-frequency sound waves, low-frequency sound waves, and normal sound waves. This frequency analysis module can categorize all sound waves except for the normal sound waves using high-frequency, low-frequency, and normal sound waves. The system removes high-frequency and low-frequency sound waves from the external audio, thus achieving noise reduction. The filtering module contains a filter that further filters and reduces noise in the audio processed by the sound wave processing module. The engine noise reduction module includes a noise reduction algorithm, a noise reduction level, and a noise reduction selection option. These three options share a parameter adjustment module. The noise reduction algorithm, level, and selection options allow users to choose the engine noise reduction algorithm, adjust the noise reduction level, and select the noise reduction region during audio noise reduction, increasing overall noise reduction efficiency. The parameter adjustment module allows for post-audio playback parameter modification to further remove minor noise and enhance the noise reduction effect. The integrated output module facilitates the recording of new audio after overall noise reduction, enabling rapid output for subsequent use.

[0018] A method of using an audio signal noise reduction processing system includes the following steps: Step 1: First, the sound wave recording module records and collects external sounds, thus quickly recording them. At the same time, the system transmits the recorded sounds to the intelligent analysis module through the sound wave recording mode. The sound wave automatic recognition and classification module in the intelligent analysis module will automatically analyze and identify the recorded audio. Meanwhile, the demand sound wave module and the external sound wave module inside the sound wave automatic recognition and classification module will classify the desired sound waves and unwanted sound waves in the audio. Then, the desired audio is saved through the demand sound wave module. Step 2: Simultaneously, the sound wave processing module will work with the intelligent analysis module to analyze and process the audio stored in the sound wave module. It will also work with the frequency analysis module to distinguish between high-frequency sound waves, low-frequency sound waves, and normal sound waves. Apart from normal sound waves, high-frequency sound waves and low-frequency sound waves are considered noise. At this time, the high-frequency sound wave module and low-frequency sound wave module inside the frequency analysis module will remove the high-frequency sound waves and low-frequency sound waves, thereby performing initial noise reduction on the audio. At the same time, the filter in the sound filtering module will further filter the audio inside the normal sound wave module, further reducing the overall noise. Step 3: Simultaneously, through the noise reduction algorithm in the engine noise reduction module, you can independently select the engine noise reduction algorithm to perform overall noise reduction on the audio. At the same time, you can adjust the noise reduction level to reduce the level of noise in the audio. You can make flexible choices, and you can effectively select any position in the audio for noise reduction through noise reduction selection, which is convenient for overall noise reduction and increases the overall noise reduction efficiency. Step 4: After overall noise reduction through the engine noise reduction module, the noise-reduced audio is played through the parameter adjustment diaphragm. The internal parameters are then adjusted in real time according to the audio, which can effectively modify the parameters of individual segments to enhance the noise reduction effect. At the same time, the noise-reduced audio can be quickly collected and integrated through the integrated output module and then input for use.

[0019] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely illustrative of the principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of protection claimed by the present invention. The scope of protection of the present invention is defined by the appended claims and their equivalents.

Claims

1. An audio signal noise reduction processing system, characterized in that, It includes a sound wave recording module, an intelligent analysis module, a sound wave processing module, a sound filtering module, an engine noise reduction module, and an integrated output module. The sound wave recording module, intelligent analysis module, sound wave processing module, sound filtering module, engine noise reduction module, and integrated output module are interconnected to facilitate gradual use.

2. The audio signal noise reduction processing system according to claim 1, characterized in that: The intelligent analysis module includes an automatic sound wave identification and classification module, which is equipped with demand sound waves and external sound waves, and can effectively classify and classify the demand sound waves required within the audio and other external sound waves.

3. The audio signal noise reduction processing system according to claim 1, characterized in that: The sound wave processing module includes a frequency analysis module, which is equipped with high-frequency sound waves, low-frequency sound waves and normal sound waves. The frequency analysis module can eliminate high-frequency and low-frequency sound waves other than normal sound waves through high-frequency sound waves, low-frequency sound waves and normal sound waves, thereby achieving the effect of noise reduction.

4. The audio signal noise reduction processing system according to claim 1, characterized in that: The sound filtering module has a built-in filter, which further filters and reduces noise in the audio processed by the sound wave processing module.

5. The audio signal noise reduction processing system according to claim 1, characterized in that: The engine noise reduction module includes a noise reduction algorithm, a noise reduction level, and a noise reduction selection, and the noise reduction algorithm, noise reduction level, and noise reduction selection are all equipped with a parameter adjustment module.

6. The audio signal noise reduction processing system according to claim 5, characterized in that: The noise reduction algorithm, noise reduction level, and noise reduction selection allow users to choose the engine noise reduction algorithm, adjust the noise reduction level, and select the noise reduction region when performing audio noise reduction, thereby increasing the overall noise reduction efficiency. The parameter adjustment module allows users to modify parameters during audio playback later to further modify and remove minor noise, thus enhancing the noise reduction effect.

7. The audio signal noise reduction processing system according to claim 1, characterized in that: The integrated output module facilitates the recording of new audio after overall audio noise reduction, enabling rapid output for subsequent use.

8. A method of using an audio signal noise reduction processing system as described in any one of claims 1-7, characterized in that: Includes the following steps: Step 1: First, the sound wave recording module records and collects external sounds, thus quickly recording them. At the same time, the system transmits the recorded sounds to the intelligent analysis module through the sound wave recording mode. The sound wave automatic recognition and classification module in the intelligent analysis module will automatically analyze and identify the recorded audio. Meanwhile, the demand sound wave module and the external sound wave module inside the sound wave automatic recognition and classification module will classify the desired sound waves and unwanted sound waves in the audio. Then, the desired audio is saved through the demand sound wave module. Step 2: Simultaneously, the sound wave processing module will work with the intelligent analysis module to analyze and process the audio stored in the sound wave module. It will also work with the frequency analysis module to distinguish between high-frequency sound waves, low-frequency sound waves, and normal sound waves. Apart from normal sound waves, high-frequency sound waves and low-frequency sound waves are considered noise. At this time, the high-frequency sound wave module and low-frequency sound wave module inside the frequency analysis module will remove the high-frequency sound waves and low-frequency sound waves, thereby performing initial noise reduction on the audio. At the same time, the filter in the sound filtering module will further filter the audio inside the normal sound wave module, further reducing the overall noise. Step 3: Simultaneously, through the noise reduction algorithm in the engine noise reduction module, you can independently select the engine noise reduction algorithm to perform overall noise reduction on the audio. At the same time, you can adjust the noise reduction level to reduce the level of noise in the audio. You can make flexible choices, and you can effectively select any position in the audio for noise reduction through noise reduction selection, which is convenient for overall noise reduction and increases the overall noise reduction efficiency. Step 4: After overall noise reduction through the engine noise reduction module, the noise-reduced audio is played through the parameter adjustment diaphragm. The internal parameters are then adjusted in real time according to the audio, which can effectively modify the parameters of individual segments to enhance the noise reduction effect. At the same time, the noise-reduced audio can be quickly collected and integrated through the integrated output module and then input for use.

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