Speech deep hash learning method and system based on CNN

Abstract

The invention relates to a speech deep hash learning method and system based on CNN. The method comprises the following steps: preprocessing an original voice file to obtain a preprocessed original voice file; extracting spectrogram features of the preprocessed original voice file; inputting the spectrogram features into an improved convolutional neural network model for training and deep hash feature learning to obtain deep semantic features of an original voice file; performing deep hash sequence construction on the deep semantic features by using a learned hash function to obtain a deep hash binary code representing the original voice file; and performing voice retrieval according to the deep hash binary code. According to the method, the problems of limitation, poor feature representation and the like of manual features in the feature extraction process of an existing content-based voice retrieval system can be solved, and the retrieval precision and the retrieval efficiency can befurther improved.

Description

technical field [0001] The invention relates to the technical field of voice retrieval based on deep learning, in particular to a CNN-based voice deep hash learning method and system. Background technique [0002] With the explosive growth of the number of digital audio on the Internet, high-speed retrieval in speech / audio big data has become an urgent problem to be solved. Therefore, how to quickly retrieve the desired content from massive data has always been a hot issue in the field of speech retrieval research. Among them, speech has attracted extensive attention because of its special expressive function, and the importance and sensitivity of semantic content are reflected in applications such as conference recordings and court evidence. Therefore, the quality of speech feature extraction and the performance of feature expression will directly affect the subsequent retrieval effect. [0003] At present, most of the existing content-based speech retrieval methods const...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a method and system for deep hash learning of speech based on CNN, which can fully express the high-level semantic information of speech data, and solve the manual features existing in the feature extraction process of the traditional speech retrieval system based on perceptual hashing Defects and low query accuracy and efficiency

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