Device selection from audio data
This disclosure describes techniques for identifying a voice-enabled device from a group of voice-enabled devices to respond to a speech utterance of a user. A speech-processing system may receive an audio signal representing the speech utterance captured in an environment of a voice-enabled device,...
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| creator | Torbert, Charles James Shah, Deepak Uttam Tennety, Vijay Shankar Lan, Gang Cherukuri, Venkata Snehith Rachakonda, Ravi Kiran Tavares, Joseph Pedro Clawson, Mckay |
| description | This disclosure describes techniques for identifying a voice-enabled device from a group of voice-enabled devices to respond to a speech utterance of a user. A speech-processing system may receive an audio signal representing the speech utterance captured in an environment of a voice-enabled device, and identify another voice-enabled device located in the environment. The system may analyze the audio signal using a different natural-language-understanding model for each of the voice-enabled devices to identify an intent for each of the voice-enabled devices to respond to the speech utterance. The system may determine confidence scores that the intents are responsive to the speech utterance, and select the intent with the highest confidence score. The system may use the selected intent to generate a command for the corresponding voice-enabled device to respond to the user. |
| format | Patent |
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A speech-processing system may receive an audio signal representing the speech utterance captured in an environment of a voice-enabled device, and identify another voice-enabled device located in the environment. The system may analyze the audio signal using a different natural-language-understanding model for each of the voice-enabled devices to identify an intent for each of the voice-enabled devices to respond to the speech utterance. The system may determine confidence scores that the intents are responsive to the speech utterance, and select the intent with the highest confidence score. The system may use the selected intent to generate a command for the corresponding voice-enabled device to respond to the user.</description><language>eng</language><subject>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</subject><creationdate>2020</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20200616&DB=EPODOC&CC=US&NR=10685669B1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25544,76293</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20200616&DB=EPODOC&CC=US&NR=10685669B1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Torbert, Charles James</creatorcontrib><creatorcontrib>Shah, Deepak Uttam</creatorcontrib><creatorcontrib>Tennety, Vijay Shankar</creatorcontrib><creatorcontrib>Lan, Gang</creatorcontrib><creatorcontrib>Cherukuri, Venkata Snehith</creatorcontrib><creatorcontrib>Rachakonda, Ravi Kiran</creatorcontrib><creatorcontrib>Tavares, Joseph Pedro</creatorcontrib><creatorcontrib>Clawson, Mckay</creatorcontrib><title>Device selection from audio data</title><description>This disclosure describes techniques for identifying a voice-enabled device from a group of voice-enabled devices to respond to a speech utterance of a user. A speech-processing system may receive an audio signal representing the speech utterance captured in an environment of a voice-enabled device, and identify another voice-enabled device located in the environment. The system may analyze the audio signal using a different natural-language-understanding model for each of the voice-enabled devices to identify an intent for each of the voice-enabled devices to respond to the speech utterance. The system may determine confidence scores that the intents are responsive to the speech utterance, and select the intent with the highest confidence score. The system may use the selected intent to generate a command for the corresponding voice-enabled device to respond to the user.</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>2020</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZFBwSS3LTE5VKE7NSU0uyczPU0grys9VSCxNycxXSEksSeRhYE1LzClO5YXS3AyKbq4hzh66qQX58anFBYnJqXmpJfGhwYYGZhamZmaWTobGxKgBAEFaJUE</recordid><startdate>20200616</startdate><enddate>20200616</enddate><creator>Torbert, Charles James</creator><creator>Shah, Deepak Uttam</creator><creator>Tennety, Vijay Shankar</creator><creator>Lan, Gang</creator><creator>Cherukuri, Venkata Snehith</creator><creator>Rachakonda, Ravi Kiran</creator><creator>Tavares, Joseph Pedro</creator><creator>Clawson, Mckay</creator><scope>EVB</scope></search><sort><creationdate>20200616</creationdate><title>Device selection from audio data</title><author>Torbert, Charles James ; Shah, Deepak Uttam ; Tennety, Vijay Shankar ; Lan, Gang ; Cherukuri, Venkata Snehith ; Rachakonda, Ravi Kiran ; Tavares, Joseph Pedro ; Clawson, Mckay</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US10685669B13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2020</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>Torbert, Charles James</creatorcontrib><creatorcontrib>Shah, Deepak Uttam</creatorcontrib><creatorcontrib>Tennety, Vijay Shankar</creatorcontrib><creatorcontrib>Lan, Gang</creatorcontrib><creatorcontrib>Cherukuri, Venkata Snehith</creatorcontrib><creatorcontrib>Rachakonda, Ravi Kiran</creatorcontrib><creatorcontrib>Tavares, Joseph Pedro</creatorcontrib><creatorcontrib>Clawson, Mckay</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Torbert, Charles James</au><au>Shah, Deepak Uttam</au><au>Tennety, Vijay Shankar</au><au>Lan, Gang</au><au>Cherukuri, Venkata Snehith</au><au>Rachakonda, Ravi Kiran</au><au>Tavares, Joseph Pedro</au><au>Clawson, Mckay</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Device selection from audio data</title><date>2020-06-16</date><risdate>2020</risdate><abstract>This disclosure describes techniques for identifying a voice-enabled device from a group of voice-enabled devices to respond to a speech utterance of a user. A speech-processing system may receive an audio signal representing the speech utterance captured in an environment of a voice-enabled device, and identify another voice-enabled device located in the environment. The system may analyze the audio signal using a different natural-language-understanding model for each of the voice-enabled devices to identify an intent for each of the voice-enabled devices to respond to the speech utterance. The system may determine confidence scores that the intents are responsive to the speech utterance, and select the intent with the highest confidence score. The system may use the selected intent to generate a command for the corresponding voice-enabled device to respond to the user.</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 | Device selection from audio data |
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