Discrete spectrum feature analysis method and device for multiple space-time source signals
The invention discloses a discrete spectrum feature analysis method and device for a multi-space-time source signal. The method comprises the following steps: acquiring a sound signal sample matrix X of M sound signal segments from different sources; and performing noise reduction processing from th...
Gespeichert in:
Hauptverfasser: | , , , , , , |
---|---|
Format: | Patent |
Sprache: | chi ; 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 | YU JINGRONG HUANG YINGQI WU ZHUOHUI LEI YIWEI LI CHENGCHENG HAO PENGFEI WEN HE |
description | The invention discloses a discrete spectrum feature analysis method and device for a multi-space-time source signal. The method comprises the following steps: acquiring a sound signal sample matrix X of M sound signal segments from different sources; and performing noise reduction processing from the X by using a wavelet threshold function algorithm, adjusting a filtering parameter of the wavelet threshold function algorithm according to a correlation coefficient between each sound signal segment in the X and a noise reduction result thereof, and performing noise reduction processing again until the number of iterations is equal to a preset maximum number of iterations or an absolute value of the correlation coefficient is smaller than a preset value, finally obtaining a noise reduction multi-space-time source signal matrix D formed by M noise reduction processing results; performing centralization and whitening processing on the D to obtain a whitening matrix; and performing discrete Fourier transform on the |
format | Patent |
fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN117612549A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN117612549A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN117612549A3</originalsourceid><addsrcrecordid>eNqNiz0OAiEUhGksjHqH5wG2wN9YmlVjZWVnsSEwqySwEHiYeHvReACrbyYz31jcDjbrBAblCM2peOqhuCSQGpR7ZZvJgx_B1G7I4Gk1qA-JfHFso_uISqNh62sMJdU523t181SM-grMfpyI-el4bc8NYujw1QZw116k3G7kYr3a7Zf_fN6pkjvh</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Discrete spectrum feature analysis method and device for multiple space-time source signals</title><source>esp@cenet</source><creator>YU JINGRONG ; HUANG YINGQI ; WU ZHUOHUI ; LEI YIWEI ; LI CHENGCHENG ; HAO PENGFEI ; WEN HE</creator><creatorcontrib>YU JINGRONG ; HUANG YINGQI ; WU ZHUOHUI ; LEI YIWEI ; LI CHENGCHENG ; HAO PENGFEI ; WEN HE</creatorcontrib><description>The invention discloses a discrete spectrum feature analysis method and device for a multi-space-time source signal. The method comprises the following steps: acquiring a sound signal sample matrix X of M sound signal segments from different sources; and performing noise reduction processing from the X by using a wavelet threshold function algorithm, adjusting a filtering parameter of the wavelet threshold function algorithm according to a correlation coefficient between each sound signal segment in the X and a noise reduction result thereof, and performing noise reduction processing again until the number of iterations is equal to a preset maximum number of iterations or an absolute value of the correlation coefficient is smaller than a preset value, finally obtaining a noise reduction multi-space-time source signal matrix D formed by M noise reduction processing results; performing centralization and whitening processing on the D to obtain a whitening matrix; and performing discrete Fourier transform on the</description><language>chi ; eng</language><subject>ACOUSTICS ; MUSICAL INSTRUMENTS ; PHYSICS ; SPEECH ANALYSIS OR SYNTHESIS ; SPEECH OR AUDIO CODING OR DECODING ; SPEECH OR VOICE PROCESSING ; SPEECH RECOGNITION</subject><creationdate>2024</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=20240227&DB=EPODOC&CC=CN&NR=117612549A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240227&DB=EPODOC&CC=CN&NR=117612549A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>YU JINGRONG</creatorcontrib><creatorcontrib>HUANG YINGQI</creatorcontrib><creatorcontrib>WU ZHUOHUI</creatorcontrib><creatorcontrib>LEI YIWEI</creatorcontrib><creatorcontrib>LI CHENGCHENG</creatorcontrib><creatorcontrib>HAO PENGFEI</creatorcontrib><creatorcontrib>WEN HE</creatorcontrib><title>Discrete spectrum feature analysis method and device for multiple space-time source signals</title><description>The invention discloses a discrete spectrum feature analysis method and device for a multi-space-time source signal. The method comprises the following steps: acquiring a sound signal sample matrix X of M sound signal segments from different sources; and performing noise reduction processing from the X by using a wavelet threshold function algorithm, adjusting a filtering parameter of the wavelet threshold function algorithm according to a correlation coefficient between each sound signal segment in the X and a noise reduction result thereof, and performing noise reduction processing again until the number of iterations is equal to a preset maximum number of iterations or an absolute value of the correlation coefficient is smaller than a preset value, finally obtaining a noise reduction multi-space-time source signal matrix D formed by M noise reduction processing results; performing centralization and whitening processing on the D to obtain a whitening matrix; and performing discrete Fourier transform on the</description><subject>ACOUSTICS</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>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNiz0OAiEUhGksjHqH5wG2wN9YmlVjZWVnsSEwqySwEHiYeHvReACrbyYz31jcDjbrBAblCM2peOqhuCSQGpR7ZZvJgx_B1G7I4Gk1qA-JfHFso_uISqNh62sMJdU523t181SM-grMfpyI-el4bc8NYujw1QZw116k3G7kYr3a7Zf_fN6pkjvh</recordid><startdate>20240227</startdate><enddate>20240227</enddate><creator>YU JINGRONG</creator><creator>HUANG YINGQI</creator><creator>WU ZHUOHUI</creator><creator>LEI YIWEI</creator><creator>LI CHENGCHENG</creator><creator>HAO PENGFEI</creator><creator>WEN HE</creator><scope>EVB</scope></search><sort><creationdate>20240227</creationdate><title>Discrete spectrum feature analysis method and device for multiple space-time source signals</title><author>YU JINGRONG ; HUANG YINGQI ; WU ZHUOHUI ; LEI YIWEI ; LI CHENGCHENG ; HAO PENGFEI ; WEN HE</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN117612549A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2024</creationdate><topic>ACOUSTICS</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>YU JINGRONG</creatorcontrib><creatorcontrib>HUANG YINGQI</creatorcontrib><creatorcontrib>WU ZHUOHUI</creatorcontrib><creatorcontrib>LEI YIWEI</creatorcontrib><creatorcontrib>LI CHENGCHENG</creatorcontrib><creatorcontrib>HAO PENGFEI</creatorcontrib><creatorcontrib>WEN HE</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>YU JINGRONG</au><au>HUANG YINGQI</au><au>WU ZHUOHUI</au><au>LEI YIWEI</au><au>LI CHENGCHENG</au><au>HAO PENGFEI</au><au>WEN HE</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Discrete spectrum feature analysis method and device for multiple space-time source signals</title><date>2024-02-27</date><risdate>2024</risdate><abstract>The invention discloses a discrete spectrum feature analysis method and device for a multi-space-time source signal. The method comprises the following steps: acquiring a sound signal sample matrix X of M sound signal segments from different sources; and performing noise reduction processing from the X by using a wavelet threshold function algorithm, adjusting a filtering parameter of the wavelet threshold function algorithm according to a correlation coefficient between each sound signal segment in the X and a noise reduction result thereof, and performing noise reduction processing again until the number of iterations is equal to a preset maximum number of iterations or an absolute value of the correlation coefficient is smaller than a preset value, finally obtaining a noise reduction multi-space-time source signal matrix D formed by M noise reduction processing results; performing centralization and whitening processing on the D to obtain a whitening matrix; and performing discrete Fourier transform on the</abstract><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | |
ispartof | |
issn | |
language | chi ; eng |
recordid | cdi_epo_espacenet_CN117612549A |
source | esp@cenet |
subjects | ACOUSTICS MUSICAL INSTRUMENTS PHYSICS SPEECH ANALYSIS OR SYNTHESIS SPEECH OR AUDIO CODING OR DECODING SPEECH OR VOICE PROCESSING SPEECH RECOGNITION |
title | Discrete spectrum feature analysis method and device for multiple space-time source signals |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-29T09%3A02%3A06IST&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=YU%20JINGRONG&rft.date=2024-02-27&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN117612549A%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 |