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Model construction method for audio recognition

An audio recognition and model technology, applied in the field of machine learning, can solve the problems of difficulty in recognizing content and inefficiency of audio files, and achieve the effect of improving recognition accuracy

Pending Publication Date: 2022-04-05
ASKEY COMP +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, for sound tags, the operator may need to listen to a long sound file to start tagging, and the sound file may be disturbed by noise, making it difficult to identify the content
It follows that today's training operations are quite inefficient for operators

Method used

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  • Model construction method for audio recognition
  • Model construction method for audio recognition
  • Model construction method for audio recognition

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Embodiment Construction

[0033] Reference will now be made in detail to the exemplary embodiments of the present invention, examples of which are illustrated in the accompanying drawings. Wherever possible, the same reference numbers will be used in the drawings and description to refer to the same or like parts.

[0034] figure 1 is a flowchart of a model construction method for audio recognition according to an embodiment of the present invention. Please refer to figure 1 , the server obtains the audio data (step S110). Specifically, audio data refers to sound signals that are converted into analog or digital forms by collecting sound waves (such as those generated by human voices, environmental sounds, machine operation sounds, etc.), or through processors (such as central Processor (Central Processing Unit, CPU), application specific integrated circuit (Application Specific Integrated Circuit, ASIC), or digital signal processor (Digital Signal Processor, DSP) etc.) or the number of sounds gene...

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Abstract

The embodiment of the invention provides a model construction method for audio recognition. In this method. And obtaining audio data. A prediction result of the audio data is determined by utilizing a classification model, the classification model is trained based on a machine learning algorithm, and the prediction result comprises a label defined by the classification model. A cue message is provided according to a degree of loss of the prediction result, which degree of loss is related to a difference between the prediction result and a corresponding actual result, and the cue message is used to inquire a correlation of the audio data to the tag. The classification model is modified according to an acknowledgement response of the cue message, and this acknowledgement response is related to acknowledgement of a correlation of the audio data to the tag. Therefore, the marking efficiency and the prediction correctness can be improved.

Description

technical field [0001] The invention relates to a machine learning technology, in particular to a model construction method for audio recognition. Background technique [0002] Machine learning algorithms can make predictions about unknown data by analyzing large amounts of data to deduce the patterns of these data. In recent years, machine learning has been widely used in areas such as image recognition, natural language processing, medical diagnosis, or speech recognition. [0003] It is worth noting that in the training process of the recognition technology for speech or other audio types, the operator will mark (labeling) the type of sound content (for example, female voice, baby voice, alarm bell, etc.) to generate training The correct output results in the data, where the sound content is given as input data in the training data. If the image is marked, the operator can recognize the object in a short time, and the corresponding label can be provided. However, for s...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G10L25/51G10L25/30G06K9/62G06N3/04G06N3/08G06N20/00
Inventor 陈建芳吴易万许桓瑞李建明
Owner ASKEY COMP