Method of recognizing ear speech in normal speech flow under condition of small database

Abstract

The invention discloses a method of recognizing ear speech in a normal speech flow under the condition of a small database, comprising the following steps: building a speech recognition and classification system which comprises a digital speech input module, a feature extraction module, and a deep neural network composed of a deep belief network and a Softmax output layer, wherein the deep belief network is composed of restricted Boltzmann machines stacked from bottom to top, spectrum feature is the input feature of the deep belief network, and the Softmax output layer correspondingly outputs a target value of the deep neural network; acquiring training data set samples and processing the samples in at least one of the following ways: (1) artificially extending the data set 8 to 24 times by repetition; and (2) scrambling the data set, and training the speech recognition and classification system; and using the trained classification system to recognize a to-be-recognized speech flow. The recognition performance of the system can be improved in a small database, and the recognition rate of normal speech is guaranteed while ear speech recognition is realized.

Description

technical field [0001] The invention relates to a speech signal processing technology, in particular to a method for recognizing ear speech appearing in Chinese normal speech flow under the condition of low resource and small database. Background technique [0002] Otospeech is a special form of communication in which the sound is low and the vocal cords do not vibrate at all. It is significantly less perceptual and intelligible than normal speech. Nevertheless, ear speech is also a natural speech form of people's daily communication. It is often used for communication in a quiet or confidential environment, such as when the speaker does not want to disturb others, or there is some private information to be exchanged. With the development of communication technology, the human-computer interaction interface of ear voice is getting more and more attention, such as the use of handheld devices such as smart phones in company meetings or public places, and digital password s...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a method for recognizing middle ear speech in normal speech streams under the condition of a small database, so as to solve the difficulty in improving the recognition rate due to the small amount of sample data when identifying isolated words in ear speech in normal speech streams. The problem

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