Speech language classifying method based on CNN and GRU fused deep neural network

Abstract

The invention discloses a speech language classifying method based on a CNN and GRU fused deep neural network. The method comprises the following steps that S1, source audio data of a server is obtained, audio preprocessing is conducted, and the source audio data is cut; S2, audio data file information is read, and an audio data inventory CSV file is generated; S3, an audio data file is subjectedto short-time Fourier transformation, and two-dimensional speech spectrums associated with time and frequency domains of expansion of a series of frequency spectrum functions obtained after speech signal time domains are analyzed are obtained; S4, a model is built; S5, two-dimensional speech spectrum image data is input into the CNN and GRU fused speech language classifying deep neural network model, and language classification data is classified and output; S6, the language classification data and source audio data file information are stored. By means of the method, the problem about speechlanguage classification is solved, the method has the advantages of being automatic, high in identification rate, high in robustness, low in cost, high in portability and the like, and the business connection with a third-party system can be facilitated.

Description

technical field [0001] The invention relates to the technical field of speech processing, in particular to a speech language classification method based on CNN and GRU fusion deep neural network. Background technique [0002] With the advent of the multimedia era, computers are becoming more and more popular, and human-computer interaction is becoming more and more frequent. People are committed to making machines understand human speech instructions and operating and controlling machines through voice. Compared with traditional input devices such as keyboards and mice, speech technology, as an important means of human-computer interaction, has gradually become a key technology of human-computer interface in information transmission. [0003] At present, most of the traditional speech processing methods adopt the pattern matching strategy, and the language model method based on template matching and statistical probability is the main method of speech processing technology. ...

AI Technical Summary

Problems solved by technology

However, due to the limitations of the acoustic model and language model, and the diversity of human language in daily life due to the environment, personal diversity and colloquial arbitrariness, it brings great challenges to speech pro

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