Intelligent recognition method for incomplete voice of elderly people

A technology of intelligent recognition and speech, applied in speech recognition, speech analysis, instruments, etc., can solve problems such as difficult recognition, deep and stable voice, and strict accent
CN112071307APending Publication Date: 2020-12-11JIANGSU HUIMING SCI & TECH

Patent Information

Authority / Receiving Office
CN ยท China
Current Assignee / Owner
JIANGSU HUIMING SCI & TECH
Publication Date
2020-12-11

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Abstract

The invention relates to the technical field of voice recognition, and particularly relates to an intelligent recognition method for incomplete voice of elderly people. The intelligent recognition method for incomplete voice of elderly people comprises the following steps: S1, preprocessing voice data, acquiring an original voice signal, and preprocessing the original voice signal, specifically including windowing and framing of the voice signal; detecting voice signal endpoints; performing voice enhancement processing by adopting a signal subspace enhancement algorithm; S2, extracting voice features, and fusing the extracted feature parameters; and S3, establishing a voice acoustic model. According to the intelligent recognition technology for incomplete voice of elderly people, the problems of slight sound amplitude and great influence of environmental noise caused by aging of vocal organs of the elderly people can be reduced, and the voice features fused by adopting the sound parameters can be closer to the voice features of the elderly people, so that data comprehensively representing the voice features of the elderly people can be acquired, and the recognition degree of incomplete voice and fuzzy voice of the elderly people is improved.
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Description

technical field

[0001] The invention relates to the technical field of speech recognition, in particular to an intelligent recognition method for incomplete speech of the elderly. Background technique

[0002] Due to the decline of physical functions of the elderly, their vocal organs will age, accompanied by problems such as serious accent, deep voice, and difficult recognition, which makes it difficult for nursing staff to understand the care needs of the elderly clearly and accurately.

[0003] Speech recognition, that is, automatic speech recognition (Automatic Speech Recognition, ASR), in layman's terms is to convert speech into text. The history of speech recognition research can be traced back to 60 years ago. Vintsyuk proposed the Dynamic Time Warping algorithm (Dynamic Time Warping, DTW), which effectively solved the problem of how to compare speech of different durations, and became the mainstream method for speech recognition at that time. In the 1970s, with the ...

Claims

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