AUTOMATIC GAIN CONTROL BASED ON MACHINE LEARNING LEVEL ESTIMATION OF THE DESIRED SIGNAL
A system includes a memory and a processing device communicably coupled to the memory. The processing device identifies audio data associated with a plurality of input device. The processing devices determines a speech energy level for each input device by providing the audio data as input to a trai...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Patent |
| Sprache: | eng ; fre ; ger |
| 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 | RUDBERG, Karl Allan Tore BAZZICA, Alessio |
| description | A system includes a memory and a processing device communicably coupled to the memory. The processing device identifies audio data associated with a plurality of input device. The processing devices determines a speech energy level for each input device by providing the audio data as input to a trained model. For each input device, a statistical value associated with the speech energy level is determined. A strongest input device is identified based on the statistical value. In response to determining that the statistical value associated with the speech energy level of the strongest input device satisfies a threshold condition, the processing device updates the gain value of an input device to an estimated target gain value based on the statistical value of the speech energy level of the respective input device. |
| format | Patent |
| fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_EP3984031A1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>EP3984031A1</sourcerecordid><originalsourceid>FETCH-epo_espacenet_EP3984031A13</originalsourceid><addsrcrecordid>eNqNi0EKwjAQAHvxIOof9gOCJR70uKbbZCHdSJLqsRSJJ9FC_T9G8AGeZg4zy-qKffIdJtZgkAW0lxS8gxNGasALdKgtC4EjDMJiilzIAcXE360UvoVkCRqKHMoT2Qi6dbW4j485b35cVdBS0nabp9eQ52m85Wd-D3RWx8N-p2qs1R_JBzJjMC8</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>AUTOMATIC GAIN CONTROL BASED ON MACHINE LEARNING LEVEL ESTIMATION OF THE DESIRED SIGNAL</title><source>esp@cenet</source><creator>RUDBERG, Karl Allan Tore ; BAZZICA, Alessio</creator><creatorcontrib>RUDBERG, Karl Allan Tore ; BAZZICA, Alessio</creatorcontrib><description>A system includes a memory and a processing device communicably coupled to the memory. The processing device identifies audio data associated with a plurality of input device. The processing devices determines a speech energy level for each input device by providing the audio data as input to a trained model. For each input device, a statistical value associated with the speech energy level is determined. A strongest input device is identified based on the statistical value. In response to determining that the statistical value associated with the speech energy level of the strongest input device satisfies a threshold condition, the processing device updates the gain value of an input device to an estimated target gain value based on the statistical value of the speech energy level of the respective input device.</description><language>eng ; fre ; ger</language><subject>ACOUSTICS ; BASIC ELECTRONIC CIRCUITRY ; CONTROL OF AMPLIFICATION ; ELECTRIC COMMUNICATION TECHNIQUE ; ELECTRICITY ; MUSICAL INSTRUMENTS ; PHYSICS ; SPEECH ANALYSIS OR SYNTHESIS ; SPEECH OR AUDIO CODING OR DECODING ; SPEECH OR VOICE PROCESSING ; SPEECH RECOGNITION ; TELEPHONIC COMMUNICATION</subject><creationdate>2022</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=20220420&DB=EPODOC&CC=EP&NR=3984031A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76290</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20220420&DB=EPODOC&CC=EP&NR=3984031A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>RUDBERG, Karl Allan Tore</creatorcontrib><creatorcontrib>BAZZICA, Alessio</creatorcontrib><title>AUTOMATIC GAIN CONTROL BASED ON MACHINE LEARNING LEVEL ESTIMATION OF THE DESIRED SIGNAL</title><description>A system includes a memory and a processing device communicably coupled to the memory. The processing device identifies audio data associated with a plurality of input device. The processing devices determines a speech energy level for each input device by providing the audio data as input to a trained model. For each input device, a statistical value associated with the speech energy level is determined. A strongest input device is identified based on the statistical value. In response to determining that the statistical value associated with the speech energy level of the strongest input device satisfies a threshold condition, the processing device updates the gain value of an input device to an estimated target gain value based on the statistical value of the speech energy level of the respective input device.</description><subject>ACOUSTICS</subject><subject>BASIC ELECTRONIC CIRCUITRY</subject><subject>CONTROL OF AMPLIFICATION</subject><subject>ELECTRIC COMMUNICATION TECHNIQUE</subject><subject>ELECTRICITY</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><subject>TELEPHONIC COMMUNICATION</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2022</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNi0EKwjAQAHvxIOof9gOCJR70uKbbZCHdSJLqsRSJJ9FC_T9G8AGeZg4zy-qKffIdJtZgkAW0lxS8gxNGasALdKgtC4EjDMJiilzIAcXE360UvoVkCRqKHMoT2Qi6dbW4j485b35cVdBS0nabp9eQ52m85Wd-D3RWx8N-p2qs1R_JBzJjMC8</recordid><startdate>20220420</startdate><enddate>20220420</enddate><creator>RUDBERG, Karl Allan Tore</creator><creator>BAZZICA, Alessio</creator><scope>EVB</scope></search><sort><creationdate>20220420</creationdate><title>AUTOMATIC GAIN CONTROL BASED ON MACHINE LEARNING LEVEL ESTIMATION OF THE DESIRED SIGNAL</title><author>RUDBERG, Karl Allan Tore ; BAZZICA, Alessio</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_EP3984031A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng ; fre ; ger</language><creationdate>2022</creationdate><topic>ACOUSTICS</topic><topic>BASIC ELECTRONIC CIRCUITRY</topic><topic>CONTROL OF AMPLIFICATION</topic><topic>ELECTRIC COMMUNICATION TECHNIQUE</topic><topic>ELECTRICITY</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><topic>TELEPHONIC COMMUNICATION</topic><toplevel>online_resources</toplevel><creatorcontrib>RUDBERG, Karl Allan Tore</creatorcontrib><creatorcontrib>BAZZICA, Alessio</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>RUDBERG, Karl Allan Tore</au><au>BAZZICA, Alessio</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>AUTOMATIC GAIN CONTROL BASED ON MACHINE LEARNING LEVEL ESTIMATION OF THE DESIRED SIGNAL</title><date>2022-04-20</date><risdate>2022</risdate><abstract>A system includes a memory and a processing device communicably coupled to the memory. The processing device identifies audio data associated with a plurality of input device. The processing devices determines a speech energy level for each input device by providing the audio data as input to a trained model. For each input device, a statistical value associated with the speech energy level is determined. A strongest input device is identified based on the statistical value. In response to determining that the statistical value associated with the speech energy level of the strongest input device satisfies a threshold condition, the processing device updates the gain value of an input device to an estimated target gain value based on the statistical value of the speech energy level of the respective input device.</abstract><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | |
| ispartof | |
| issn | |
| language | eng ; fre ; ger |
| recordid | cdi_epo_espacenet_EP3984031A1 |
| source | esp@cenet |
| subjects | ACOUSTICS BASIC ELECTRONIC CIRCUITRY CONTROL OF AMPLIFICATION ELECTRIC COMMUNICATION TECHNIQUE ELECTRICITY MUSICAL INSTRUMENTS PHYSICS SPEECH ANALYSIS OR SYNTHESIS SPEECH OR AUDIO CODING OR DECODING SPEECH OR VOICE PROCESSING SPEECH RECOGNITION TELEPHONIC COMMUNICATION |
| title | AUTOMATIC GAIN CONTROL BASED ON MACHINE LEARNING LEVEL ESTIMATION OF THE DESIRED SIGNAL |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-02T00%3A39%3A51IST&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=RUDBERG,%20Karl%20Allan%20Tore&rft.date=2022-04-20&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EEP3984031A1%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 |