Command word recognition method and system using mutual prior constraint model
The invention discloses a command word recognition method using a mutual prior constraint model. The command word recognition method is based on an end-to-end voice command word recognition structure,wherein the end-to-end voice command word recognition structure comprises a phoneme module used for...
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| creator | ZENG KEWEI SUN JIASONG YANG YI |
| description | The invention discloses a command word recognition method using a mutual prior constraint model. The command word recognition method is based on an end-to-end voice command word recognition structure,wherein the end-to-end voice command word recognition structure comprises a phoneme module used for extracting phoneme features from audio, a word module used for extracting word features from the phoneme features, and a semantic module used for extracting semantic features from the word features. The command word recognition method is characterized in that the semantic module recognizes commandwords according to a sequential order, changes an independent recognition process into a sequential recognition process with mutual prior constraints, i.e., recognizes a content component firstly, andthen influence recognition results of other content components through using the content component, so that the purpose of improving the accuracy rate is achieved. The invention further provides a corresponding system. Compare |
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The command word recognition method is based on an end-to-end voice command word recognition structure,wherein the end-to-end voice command word recognition structure comprises a phoneme module used for extracting phoneme features from audio, a word module used for extracting word features from the phoneme features, and a semantic module used for extracting semantic features from the word features. The command word recognition method is characterized in that the semantic module recognizes commandwords according to a sequential order, changes an independent recognition process into a sequential recognition process with mutual prior constraints, i.e., recognizes a content component firstly, andthen influence recognition results of other content components through using the content component, so that the purpose of improving the accuracy rate is achieved. The invention further provides a corresponding system. 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The command word recognition method is based on an end-to-end voice command word recognition structure,wherein the end-to-end voice command word recognition structure comprises a phoneme module used for extracting phoneme features from audio, a word module used for extracting word features from the phoneme features, and a semantic module used for extracting semantic features from the word features. The command word recognition method is characterized in that the semantic module recognizes commandwords according to a sequential order, changes an independent recognition process into a sequential recognition process with mutual prior constraints, i.e., recognizes a content component firstly, andthen influence recognition results of other content components through using the content component, so that the purpose of improving the accuracy rate is achieved. The invention further provides a corresponding system. Compare</description><subject>ACOUSTICS</subject><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</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>2020</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNyjEKAjEQQNE0FqLeYTyARVBRSwmK1Vb2S0jGNZDMhMwE8fYieACrX7w_N4PjUjxFeHGL0DDwREkTExTUJ0f4mrxFsUCXRBOUrt1nqC1xg8Ak2nwihcIR89LMHj4Lrn5dmPX1cne3DVYeUaoPSKijG6y1h_3udLTn7T_PB2FQNzQ</recordid><startdate>20201009</startdate><enddate>20201009</enddate><creator>ZENG KEWEI</creator><creator>SUN JIASONG</creator><creator>YANG YI</creator><scope>EVB</scope></search><sort><creationdate>20201009</creationdate><title>Command word recognition method and system using mutual prior constraint model</title><author>ZENG KEWEI ; SUN JIASONG ; YANG YI</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN111754981A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2020</creationdate><topic>ACOUSTICS</topic><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</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>ZENG KEWEI</creatorcontrib><creatorcontrib>SUN JIASONG</creatorcontrib><creatorcontrib>YANG YI</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>ZENG KEWEI</au><au>SUN JIASONG</au><au>YANG YI</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Command word recognition method and system using mutual prior constraint model</title><date>2020-10-09</date><risdate>2020</risdate><abstract>The invention discloses a command word recognition method using a mutual prior constraint model. The command word recognition method is based on an end-to-end voice command word recognition structure,wherein the end-to-end voice command word recognition structure comprises a phoneme module used for extracting phoneme features from audio, a word module used for extracting word features from the phoneme features, and a semantic module used for extracting semantic features from the word features. The command word recognition method is characterized in that the semantic module recognizes commandwords according to a sequential order, changes an independent recognition process into a sequential recognition process with mutual prior constraints, i.e., recognizes a content component firstly, andthen influence recognition results of other content components through using the content component, so that the purpose of improving the accuracy rate is achieved. The invention further provides a corresponding system. Compare</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | ACOUSTICS CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS 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 | Command word recognition method and system using mutual prior constraint model |
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