Method for identity authentication and reliable control based on speech recognition
The present invention discloses a method for identity authentication and reliable control based on speech recognition. The method comprises speech signal preprocessing, feature extraction modeling, training of a template library and mode matching. The speech signal preprocessing comprises the steps...
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| creator | HU LIANG LI YAOZENG CHEN YUHAN ZHANG XIUXIU |
| description | The present invention discloses a method for identity authentication and reliable control based on speech recognition. The method comprises speech signal preprocessing, feature extraction modeling, training of a template library and mode matching. The speech signal preprocessing comprises the steps of: performing windowing processing of collected audio signals, performing end point detection of the audio signals, and allowing a computer to find out start points and end points of characters and words from signals comprising a section of speech; and performing short-time average zero-crossing rate calculation, distinguishing unvoiced sound volumes and voiced sound volumes, and distinguishing sound and silence in a condition with a high signal to noise ratio. The feature extraction modeling comprises the steps of: extracting energy, amplitude, a frequency spectrum, a zero-crossing rate and a power spectrum of collected speech as feature parameters, and filtering redundant information. Themethod provided by the i |
| format | Patent |
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The method comprises speech signal preprocessing, feature extraction modeling, training of a template library and mode matching. The speech signal preprocessing comprises the steps of: performing windowing processing of collected audio signals, performing end point detection of the audio signals, and allowing a computer to find out start points and end points of characters and words from signals comprising a section of speech; and performing short-time average zero-crossing rate calculation, distinguishing unvoiced sound volumes and voiced sound volumes, and distinguishing sound and silence in a condition with a high signal to noise ratio. The feature extraction modeling comprises the steps of: extracting energy, amplitude, a frequency spectrum, a zero-crossing rate and a power spectrum of collected speech as feature parameters, and filtering redundant information. 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The method comprises speech signal preprocessing, feature extraction modeling, training of a template library and mode matching. The speech signal preprocessing comprises the steps of: performing windowing processing of collected audio signals, performing end point detection of the audio signals, and allowing a computer to find out start points and end points of characters and words from signals comprising a section of speech; and performing short-time average zero-crossing rate calculation, distinguishing unvoiced sound volumes and voiced sound volumes, and distinguishing sound and silence in a condition with a high signal to noise ratio. The feature extraction modeling comprises the steps of: extracting energy, amplitude, a frequency spectrum, a zero-crossing rate and a power spectrum of collected speech as feature parameters, and filtering redundant information. Themethod provided by the i</description><subject>ACOUSTICS</subject><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>MUSICAL INSTRUMENTS</subject><subject>PHYSICS</subject><subject>SPEECH ANALYSIS OR SYNTHESIS</subject><subject>SPEECH OR AUDIO CODING OR DECODING</subject><subject>SPEECH OR VOICE PROCESSING</subject><subject>SPEECH RECOGNITION</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2018</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNizEKAjEQRdNYiHqH8QCCGwu1lEWx0Ub7ZTaZNYEwE5Kx8Pbuggew-g_e-3PzuJEG8TBIgeiJNeoH8K1hQocahQHZQ6EUsU8ETliLJOixkofR1kzkwhg4eXGcDkszGzBVWv12YdaX87O9bihLRzWjIybt2nuzPTR7a-3xtPun-QKK_jjV</recordid><startdate>20180615</startdate><enddate>20180615</enddate><creator>HU LIANG</creator><creator>LI YAOZENG</creator><creator>CHEN YUHAN</creator><creator>ZHANG XIUXIU</creator><scope>EVB</scope></search><sort><creationdate>20180615</creationdate><title>Method for identity authentication and reliable control based on speech recognition</title><author>HU LIANG ; LI YAOZENG ; CHEN YUHAN ; ZHANG XIUXIU</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN108172229A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2018</creationdate><topic>ACOUSTICS</topic><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>MUSICAL INSTRUMENTS</topic><topic>PHYSICS</topic><topic>SPEECH ANALYSIS OR SYNTHESIS</topic><topic>SPEECH OR AUDIO CODING OR DECODING</topic><topic>SPEECH OR VOICE PROCESSING</topic><topic>SPEECH RECOGNITION</topic><toplevel>online_resources</toplevel><creatorcontrib>HU LIANG</creatorcontrib><creatorcontrib>LI YAOZENG</creatorcontrib><creatorcontrib>CHEN YUHAN</creatorcontrib><creatorcontrib>ZHANG XIUXIU</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>HU LIANG</au><au>LI YAOZENG</au><au>CHEN YUHAN</au><au>ZHANG XIUXIU</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Method for identity authentication and reliable control based on speech recognition</title><date>2018-06-15</date><risdate>2018</risdate><abstract>The present invention discloses a method for identity authentication and reliable control based on speech recognition. The method comprises speech signal preprocessing, feature extraction modeling, training of a template library and mode matching. The speech signal preprocessing comprises the steps of: performing windowing processing of collected audio signals, performing end point detection of the audio signals, and allowing a computer to find out start points and end points of characters and words from signals comprising a section of speech; and performing short-time average zero-crossing rate calculation, distinguishing unvoiced sound volumes and voiced sound volumes, and distinguishing sound and silence in a condition with a high signal to noise ratio. The feature extraction modeling comprises the steps of: extracting energy, amplitude, a frequency spectrum, a zero-crossing rate and a power spectrum of collected speech as feature parameters, and filtering redundant information. Themethod provided by the i</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | ACOUSTICS CALCULATING COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING MUSICAL INSTRUMENTS PHYSICS SPEECH ANALYSIS OR SYNTHESIS SPEECH OR AUDIO CODING OR DECODING SPEECH OR VOICE PROCESSING SPEECH RECOGNITION |
| title | Method for identity authentication and reliable control based on speech recognition |
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