Research on Audio Event Classification System Based on Artificial Intelligence
The article proposes an artificial intelligence based audio classification system to address the challenges in the field of audio time classification,combined with traditional Hidden Markov Model(HMM)optimization methods,and tested using the UrbanSound dataset.Firstly,the framework of the audio classification system was introduced.Secondly,in response to the shortcomings of traditional HMM models,a model fusion based HMM optimization method is proposed to improve the accuracy and robustness of classification through multiple model voting.Finally,conduct experiments on the MATLAB platform.The experimental results show that the accuracy,precision,and recall of this method are superior to traditional HMM models.
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