ON-DEVICE CUSTOM WAKE WORD DETECTION
Generally discussed herein are devices, systems, and methods for on-device detection of a wake word. A device can include a memory including model parameters that define a custom wake word detection model, the wake word detection model including a recurrent neural network transducer (RNNT) and a loo...
Gespeichert in:
| Hauptverfasser: | , , , , , , , , , |
|---|---|
| Format: | Patent |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | |
|---|---|
| container_issue | |
| container_start_page | |
| container_title | |
| container_volume | |
| creator | Shahid, Khuram Srinivasan, Mahadevan Stoimenov, Emilian Gong, Yifan Zhao, Rui Kalgaonkar, Kaustubh Prakash Stark, Anthony Phillip Ye, Guoli Khalil, Hosam Adel Enchev, Ivaylo Andreanov |
| description | Generally discussed herein are devices, systems, and methods for on-device detection of a wake word. A device can include a memory including model parameters that define a custom wake word detection model, the wake word detection model including a recurrent neural network transducer (RNNT) and a lookup table (LUT), the LUT indicating a hidden vector to be provided in response to a phoneme of a user-specified wake word, a microphone to capture audio, and processing circuitry to receive the audio from the microphone, determine, using the wake word detection model, whether the audio includes an utterance of the user-specified wake word, and wake up a personal assistant after determining the audio includes the utterance of the user-specified wake word. |
| format | Patent |
| fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_US2021407498A1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>US2021407498A1</sourcerecordid><originalsourceid>FETCH-epo_espacenet_US2021407498A13</originalsourceid><addsrcrecordid>eNrjZFDx99N1cQ3zdHZVcA4NDvH3VQh39HZVCPcPclFwcQ1xdQ7x9PfjYWBNS8wpTuWF0twMym6uIc4euqkF-fGpxQWJyal5qSXxocFGBkaGJgbmJpYWjobGxKkCAP5QI-E</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>ON-DEVICE CUSTOM WAKE WORD DETECTION</title><source>esp@cenet</source><creator>Shahid, Khuram ; Srinivasan, Mahadevan ; Stoimenov, Emilian ; Gong, Yifan ; Zhao, Rui ; Kalgaonkar, Kaustubh Prakash ; Stark, Anthony Phillip ; Ye, Guoli ; Khalil, Hosam Adel ; Enchev, Ivaylo Andreanov</creator><creatorcontrib>Shahid, Khuram ; Srinivasan, Mahadevan ; Stoimenov, Emilian ; Gong, Yifan ; Zhao, Rui ; Kalgaonkar, Kaustubh Prakash ; Stark, Anthony Phillip ; Ye, Guoli ; Khalil, Hosam Adel ; Enchev, Ivaylo Andreanov</creatorcontrib><description>Generally discussed herein are devices, systems, and methods for on-device detection of a wake word. A device can include a memory including model parameters that define a custom wake word detection model, the wake word detection model including a recurrent neural network transducer (RNNT) and a lookup table (LUT), the LUT indicating a hidden vector to be provided in response to a phoneme of a user-specified wake word, a microphone to capture audio, and processing circuitry to receive the audio from the microphone, determine, using the wake word detection model, whether the audio includes an utterance of the user-specified wake word, and wake up a personal assistant after determining the audio includes the utterance of the user-specified wake word.</description><language>eng</language><subject>ACOUSTICS ; CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; MUSICAL INSTRUMENTS ; PHYSICS ; SPEECH ANALYSIS OR SYNTHESIS ; SPEECH OR AUDIO CODING OR DECODING ; SPEECH OR VOICE PROCESSING ; SPEECH RECOGNITION</subject><creationdate>2021</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=20211230&DB=EPODOC&CC=US&NR=2021407498A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76289</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20211230&DB=EPODOC&CC=US&NR=2021407498A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Shahid, Khuram</creatorcontrib><creatorcontrib>Srinivasan, Mahadevan</creatorcontrib><creatorcontrib>Stoimenov, Emilian</creatorcontrib><creatorcontrib>Gong, Yifan</creatorcontrib><creatorcontrib>Zhao, Rui</creatorcontrib><creatorcontrib>Kalgaonkar, Kaustubh Prakash</creatorcontrib><creatorcontrib>Stark, Anthony Phillip</creatorcontrib><creatorcontrib>Ye, Guoli</creatorcontrib><creatorcontrib>Khalil, Hosam Adel</creatorcontrib><creatorcontrib>Enchev, Ivaylo Andreanov</creatorcontrib><title>ON-DEVICE CUSTOM WAKE WORD DETECTION</title><description>Generally discussed herein are devices, systems, and methods for on-device detection of a wake word. A device can include a memory including model parameters that define a custom wake word detection model, the wake word detection model including a recurrent neural network transducer (RNNT) and a lookup table (LUT), the LUT indicating a hidden vector to be provided in response to a phoneme of a user-specified wake word, a microphone to capture audio, and processing circuitry to receive the audio from the microphone, determine, using the wake word detection model, whether the audio includes an utterance of the user-specified wake word, and wake up a personal assistant after determining the audio includes the utterance of the user-specified wake word.</description><subject>ACOUSTICS</subject><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</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>2021</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZFDx99N1cQ3zdHZVcA4NDvH3VQh39HZVCPcPclFwcQ1xdQ7x9PfjYWBNS8wpTuWF0twMym6uIc4euqkF-fGpxQWJyal5qSXxocFGBkaGJgbmJpYWjobGxKkCAP5QI-E</recordid><startdate>20211230</startdate><enddate>20211230</enddate><creator>Shahid, Khuram</creator><creator>Srinivasan, Mahadevan</creator><creator>Stoimenov, Emilian</creator><creator>Gong, Yifan</creator><creator>Zhao, Rui</creator><creator>Kalgaonkar, Kaustubh Prakash</creator><creator>Stark, Anthony Phillip</creator><creator>Ye, Guoli</creator><creator>Khalil, Hosam Adel</creator><creator>Enchev, Ivaylo Andreanov</creator><scope>EVB</scope></search><sort><creationdate>20211230</creationdate><title>ON-DEVICE CUSTOM WAKE WORD DETECTION</title><author>Shahid, Khuram ; Srinivasan, Mahadevan ; Stoimenov, Emilian ; Gong, Yifan ; Zhao, Rui ; Kalgaonkar, Kaustubh Prakash ; Stark, Anthony Phillip ; Ye, Guoli ; Khalil, Hosam Adel ; Enchev, Ivaylo Andreanov</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US2021407498A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2021</creationdate><topic>ACOUSTICS</topic><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</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>Shahid, Khuram</creatorcontrib><creatorcontrib>Srinivasan, Mahadevan</creatorcontrib><creatorcontrib>Stoimenov, Emilian</creatorcontrib><creatorcontrib>Gong, Yifan</creatorcontrib><creatorcontrib>Zhao, Rui</creatorcontrib><creatorcontrib>Kalgaonkar, Kaustubh Prakash</creatorcontrib><creatorcontrib>Stark, Anthony Phillip</creatorcontrib><creatorcontrib>Ye, Guoli</creatorcontrib><creatorcontrib>Khalil, Hosam Adel</creatorcontrib><creatorcontrib>Enchev, Ivaylo Andreanov</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Shahid, Khuram</au><au>Srinivasan, Mahadevan</au><au>Stoimenov, Emilian</au><au>Gong, Yifan</au><au>Zhao, Rui</au><au>Kalgaonkar, Kaustubh Prakash</au><au>Stark, Anthony Phillip</au><au>Ye, Guoli</au><au>Khalil, Hosam Adel</au><au>Enchev, Ivaylo Andreanov</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>ON-DEVICE CUSTOM WAKE WORD DETECTION</title><date>2021-12-30</date><risdate>2021</risdate><abstract>Generally discussed herein are devices, systems, and methods for on-device detection of a wake word. A device can include a memory including model parameters that define a custom wake word detection model, the wake word detection model including a recurrent neural network transducer (RNNT) and a lookup table (LUT), the LUT indicating a hidden vector to be provided in response to a phoneme of a user-specified wake word, a microphone to capture audio, and processing circuitry to receive the audio from the microphone, determine, using the wake word detection model, whether the audio includes an utterance of the user-specified wake word, and wake up a personal assistant after determining the audio includes the utterance of the user-specified wake word.</abstract><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | |
| ispartof | |
| issn | |
| language | eng |
| recordid | cdi_epo_espacenet_US2021407498A1 |
| source | esp@cenet |
| subjects | ACOUSTICS CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING MUSICAL INSTRUMENTS PHYSICS SPEECH ANALYSIS OR SYNTHESIS SPEECH OR AUDIO CODING OR DECODING SPEECH OR VOICE PROCESSING SPEECH RECOGNITION |
| title | ON-DEVICE CUSTOM WAKE WORD DETECTION |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-08T16%3A54%3A57IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=Shahid,%20Khuram&rft.date=2021-12-30&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EUS2021407498A1%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |