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Method and system for rapidly recognizing incomplete voice of old people

A recognition method and a speech recognition model technology, which are applied in the field of rapid recognition of incomplete speech of the elderly and systems, can solve the problems of large amount of information, inconvenient daily life, and difficulty in extracting lip features of the elderly, achieving fast recognition speed, The effect of high accuracy

Pending Publication Date: 2022-03-18
NANJING UNIV OF SCI & TECH
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Problems solved by technology

[0005] For the elderly, the auxiliary identification method based on electromyographic signals needs to wear electrode patches all the time, which is inconvenient in daily life; while the visual signal based on lip language needs to process too much information, and there are distortions in the mouth corners of the elderly that cause The lip features are difficult to extract this problem

Method used

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  • Method and system for rapidly recognizing incomplete voice of old people
  • Method and system for rapidly recognizing incomplete voice of old people
  • Method and system for rapidly recognizing incomplete voice of old people

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Embodiment

[0059] combine figure 1 , a method for fast recognition of incomplete speech of the elderly, comprising the following steps:

[0060] Step 1, select the ST-CMDS voice data set, use the ST-CMDS voice data set to train the DNN-HMM model, and obtain the DNN-HMM voice recognition model, specifically:

[0061] The DNN-HMM model uses DNN instead of GMM to model the observation probability of the input speech signal on the basis of the GMM-HMM model, and the extracted speech feature is Fbank.

[0062] First build the GMM-HMM model, use Viterbi to decode, and correspond the voice to the state, then build the DNN-HMM, input the ST-CMDS voice data set into the model for training, and obtain the DNN-HMM voice recognition model.

[0063] Step 2. Combine figure 2 , collect the common speech of the elderly, and preprocess and enhance the noise reduction of the collected speech of the elderly, input it into the speech recognition model obtained in step 1, convert the speech into text, and...

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Abstract

The invention discloses a rapid recognition method for incomplete voices of old people, which comprises the following steps: firstly, training a DNN-HMM voice recognition model, then collecting voice data of the old people, sequentially carrying out preprocessing, noise reduction enhancement, stop word removal and keyword expansion on the data, constructing a voice database of the old people, and carrying out word segmentation and word vector calculation on statements in the database; and finally, converting the incomplete speech of the old people by using a DNN-HMM speech recognition model, carrying out word segmentation and word vector calculation, then matching with statements in a database, and outputting a statement with the highest similarity, thereby completing rapid recognition of the incomplete speech. According to the technical scheme, only a microphone or other voice acquisition equipment is needed to acquire the voice of the elderly, electronic detection equipment such as an electrode patch is not needed, the influence on the life of the elderly is small, the recognition speed is high, the accuracy rate is high, and the method has very high popularization value.

Description

technical field [0001] The invention belongs to the technical field of artificial intelligence, and in particular relates to a method and system for quickly recognizing incomplete speech of the elderly. Background technique [0002] The current population aging is accelerating, and there are several million elderly people added every year in China, and there is a large gap in the market for the care needs of the elderly. However, many elderly people have ambiguous words and reversed speech order, and cannot express their needs well. Based on this, this patent proposes a method for quickly recognizing incomplete voices of the elderly. By identifying the clear words in the continuous speech of the elderly and matching the demand sentences expressed by the elderly when they are conscious, the nursing needs of the elderly can be identified. [0003] The core of speech recognition technology is the acoustic model, which mainly describes the probability calculation of the input s...

Claims

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Application Information

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IPC IPC(8): G10L15/06G10L15/08G10L15/14G10L15/26G10L21/0208G10L25/45
CPCG10L15/063G10L15/146G10L15/08G10L15/26G10L21/0208G10L25/45G10L2015/088
Inventor 孙瑜徐文佩管潇
Owner NANJING UNIV OF SCI & TECH
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