Hierarchical speech noise reduction recognition method and system under noise environment

Abstract

The invention discloses a hierarchical speech noise reduction recognition method and system under a noise environment. The method comprises the following steps that a common text for communication bytelephone is set, and text entry is carried out; the set text is used for establishing a text database; according to the text, recording of pure speech and all kinds of noise is carried out; linear combination is carried out on the pure speech and all kinds of the noise to establish a speech database; endpoint detection is carried out on noisy speech to detect a front endpoint and rear endpoint ofeffective speech, and the effective speech is extracted; the effective speech is trained through a hierarchical method to obtain a speech enhancement deep neural network; the effective speech is subjected to speech enhancement, and then acoustic features of the effective speech are extracted; the acoustic features are used for training an acoustic model; the text is used for training a language model; the acoustic model and the language model are used for searching to obtain an optimum recognition result sequence. The hierarchical speech noise reduction recognition method and system under thenoise environment can improve the accuracy degree of recognition of original speech of a customer through noise reduction processing of the original speech of the customer.

Description

technical field [0001] The invention relates to the field of speech recognition, in particular to a hierarchical speech noise reduction recognition method and system in a noisy environment. Background technique [0002] The current speech recognition technology is developing rapidly, and in the laboratory environment, the recognition effect is already very ideal. However, when applied to customer service voice, the speaker's voice is not pure, and is often mixed with common noises in daily life, including roads, cars, airplanes, trains, subways, restaurants, bars, wind, rain, vegetable markets Wait. In this case, the effectiveness of speech recognition is greatly reduced. Contents of the invention [0003] The technical problem to be solved by the present invention is to provide a hierarchical voice noise reduction in noise environment that can improve the recognition accuracy of the customer's original voice by performing noise reduction processing on the customer's ori...

AI Technical Summary

Problems solved by technology

In this case, the effectiveness of speech recognition will be greatly reduced

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