Voice recognition algorithm for electric power major

A speech recognition and professional technology, applied in speech recognition, speech analysis, instruments, etc., can solve the problem of low recognition rate

Pending Publication Date: 2021-11-05
GUANGDONG POWER GRID CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Environmental noise and interference have a serious impact on speech recognition, resulting in a low recognition rate

Method used

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Embodiment 1

[0012] A speech recognition algorithm specialized in electric power, including an isolated character (word) speech recognition system, a connected word speech recognition system and a continuous speech recognition system.

[0013] According to the degree of dependence on the speaker, it can be divided into specific person and non-specific person speech recognition system; secondly, according to the size of vocabulary, it can be divided into small vocabulary, medium vocabulary, large vocabulary, and unlimited vocabulary speech recognition system.

[0014] The establishment of a speech recognition system based on BP neural network can be divided into two stages, namely the training stage and the recognition stage. First, the user inputs the voice through the microphone to form the original voice, and then the system preprocesses it. Preprocessing includes three processes: pre-emphasis, windowing and framing, and endpoint detection. The front end of the system adopts endpoint de...

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PUM

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Abstract

The invention discloses a voice recognition algorithm for an electric power major. The algorithm comprises an isolated character (word) voice recognition system, a connection character voice recognition system and a continuous voice recognition system. According to the voice recognition algorithm for the electric power major, input voice can be classified according to a certain mode, then an optimal matching result is found out according to a judgment criterion, however, the voice is an analog signal, the time domain waveform of the voice only represents the relation that the sound pressure changes along with time, and cannot well represent the characteristics of the voice. Thus, the sound waveform must be converted into an acoustic feature vector.

Description

technical field [0001] The invention relates to the technical field of speech recognition algorithms, in particular to a speech recognition algorithm for electric power specialty. Background technique [0002] Recognition and understanding of natural language. First, continuous speech must be decomposed into units such as words and phonemes, and secondly, a rule for understanding semantics must be established. Voice information is large. Speech patterns are not only different for different speakers, but also for the same speaker. For example, the voice information of a speaker is different when he speaks casually and when he speaks seriously. The way a person speaks changes over time. The ambiguity of speech. Different words may sound similar when the speaker is speaking. This is common in English and Chinese. The phonetic characteristics of a single letter or word or word are affected by the context, so that the accent, pitch, volume and speed of pronunciation are cha...

Claims

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Application Information

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IPC IPC(8): G10L15/06G10L15/08G10L25/24G10L25/87G10L25/30
CPCG10L15/063G10L15/08G10L25/24G10L25/87G10L25/30
Inventor 曾纪钧龙震岳温柏坚刘晔张金波蒋道环梁哲恒沈桂泉张小陆沈伍强邓新华崔磊
Owner GUANGDONG POWER GRID CO LTD
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